Overview

Brought to you by YData

Dataset statistics

Number of variables184
Number of observations29999
Missing cells963
Missing cells (%)< 0.1%
Duplicate rows2118
Duplicate rows (%)7.1%
Total size in memory99.1 MiB
Average record size in memory3.4 KiB

Variable types

Text4
Categorical175
Numeric5

Alerts

Default : Access all system downloads (S) has constant value "0" Constant
Default : Modify Google service configuration (S) has constant value "0" Constant
Default : access to passwords for Google accounts (S) has constant value "0" Constant
Default : act as an account authenticator (S) has constant value "0" Constant
Default : coarse (network-based) location (S) has constant value "0" Constant
Default : discover known accounts (S) has constant value "0" Constant
Default : full Internet access (S) has constant value "0" Constant
Default : mock location sources for testing (S) has constant value "0" Constant
Default : modify/delete USB storage contents modify/delete SD card contents (S) has constant value "0" Constant
Default : permanently disable device (S) has constant value "0" Constant
Default : read instant messages (S) has constant value "0" Constant
Default : reset system to factory defaults (S) has constant value "0" Constant
Default : run in factory test mode (S) has constant value "0" Constant
Default : set wallpaper size hints (S) has constant value "0" Constant
Default : start IM service (S) has constant value "0" Constant
Default : write contact data (S) has constant value "0" Constant
Default : write instant messages (S) has constant value "0" Constant
Network communication : download files without notification (S) has constant value "0" Constant
System tools : change background data usage setting (S) has constant value "0" Constant
Your accounts : Blogger (D) has constant value "0" Constant
Your messages : read Gmail attachment previews (D) has constant value "0" Constant
Your messages : write instant messages (D) has constant value "0" Constant
Dataset has 2118 (7.1%) duplicate rowsDuplicates
Dangerous permissions count is highly overall correlated with Default : power device on or off (S) and 11 other fieldsHigh correlation
Default : Audio File Access (S) is highly overall correlated with Your messages : Send Gmail (S)High correlation
Default : Modify Google settings (S) is highly overall correlated with Default : Voice Search Shortcuts (S)High correlation
Default : Move application resources (S) is highly overall correlated with Safe permissions countHigh correlation
Default : Voice Search Shortcuts (S) is highly overall correlated with Default : Modify Google settings (S)High correlation
Default : delete applications (S) is highly overall correlated with Default : directly install applications (S)High correlation
Default : delete other applications' data (S) is highly overall correlated with Default : force device reboot (S)High correlation
Default : directly install applications (S) is highly overall correlated with Default : delete applications (S)High correlation
Default : force device reboot (S) is highly overall correlated with Default : delete other applications' data (S)High correlation
Default : power device on or off (S) is highly overall correlated with Dangerous permissions countHigh correlation
Default : update component usage statistics (S) is highly overall correlated with Safe permissions countHigh correlation
Development tools : limit number of running processes (D) is highly overall correlated with Development tools : make all background applications close (D)High correlation
Development tools : make all background applications close (D) is highly overall correlated with Development tools : limit number of running processes (D)High correlation
Hardware controls : change your audio settings (D) is highly overall correlated with Dangerous permissions countHigh correlation
Hardware controls : control vibrator (S) is highly overall correlated with Safe permissions countHigh correlation
Network communication : create Bluetooth connections (D) is highly overall correlated with System tools : bluetooth administration (D)High correlation
Network communication : full Internet access (D) is highly overall correlated with Network communication : view network state (S)High correlation
Network communication : view Wi-Fi state (S) is highly overall correlated with Safe permissions countHigh correlation
Network communication : view network state (S) is highly overall correlated with Network communication : full Internet access (D) and 1 other fieldsHigh correlation
Number of ratings is highly overall correlated with Your accounts : Google Maps (D)High correlation
Phone calls : intercept outgoing calls (D) is highly overall correlated with Phone calls : modify phone state (S)High correlation
Phone calls : modify phone state (S) is highly overall correlated with Phone calls : intercept outgoing calls (D)High correlation
Phone calls : read phone state and identity (D) is highly overall correlated with Dangerous permissions countHigh correlation
Safe permissions count is highly overall correlated with Dangerous permissions count and 10 other fieldsHigh correlation
System tools : automatically start at boot (S) is highly overall correlated with Safe permissions countHigh correlation
System tools : bluetooth administration (D) is highly overall correlated with Network communication : create Bluetooth connections (D)High correlation
System tools : delete all application cache data (D) is highly overall correlated with System tools : measure application storage space (S)High correlation
System tools : disable keylock (D) is highly overall correlated with Dangerous permissions countHigh correlation
System tools : expand/collapse status bar (S) is highly overall correlated with Your personal information : choose widgets (S)High correlation
System tools : measure application storage space (S) is highly overall correlated with System tools : delete all application cache data (D)High correlation
System tools : read subscribed feeds (S) is highly overall correlated with System tools : write subscribed feeds (D) and 1 other fieldsHigh correlation
System tools : read sync settings (S) is highly overall correlated with Safe permissions count and 4 other fieldsHigh correlation
System tools : read sync statistics (S) is highly overall correlated with System tools : read sync settings (S) and 1 other fieldsHigh correlation
System tools : read/write to resources owned by diag (S) is highly overall correlated with Your personal information : retrieve system internal state (S)High correlation
System tools : set wallpaper size hints (S) is highly overall correlated with Your personal information : choose widgets (S)High correlation
System tools : write subscribed feeds (D) is highly overall correlated with Safe permissions count and 2 other fieldsHigh correlation
System tools : write sync settings (D) is highly overall correlated with Safe permissions count and 4 other fieldsHigh correlation
Your accounts : Google Docs (D) is highly overall correlated with Your accounts : Google Spreadsheets (D) and 1 other fieldsHigh correlation
Your accounts : Google Maps (D) is highly overall correlated with Number of ratingsHigh correlation
Your accounts : Google Spreadsheets (D) is highly overall correlated with Your accounts : Google Docs (D) and 1 other fieldsHigh correlation
Your accounts : YouTube (D) is highly overall correlated with Your accounts : YouTube usernames (D)High correlation
Your accounts : YouTube usernames (D) is highly overall correlated with Your accounts : YouTube (D)High correlation
Your accounts : access all Google services (S) is highly overall correlated with Your accounts : Google Docs (D) and 1 other fieldsHigh correlation
Your accounts : access other Google services (D) is highly overall correlated with Your accounts : view configured accounts (S)High correlation
Your accounts : act as an account authenticator (D) is highly overall correlated with System tools : read sync settings (S) and 2 other fieldsHigh correlation
Your accounts : discover known accounts (S) is highly overall correlated with Safe permissions countHigh correlation
Your accounts : manage the accounts list (D) is highly overall correlated with System tools : read sync settings (S) and 3 other fieldsHigh correlation
Your accounts : read Google service configuration (S) is highly overall correlated with System tools : read subscribed feeds (S) and 1 other fieldsHigh correlation
Your accounts : use the authentication credentials of an account (D) is highly overall correlated with Your accounts : manage the accounts list (D)High correlation
Your accounts : view configured accounts (S) is highly overall correlated with Your accounts : access other Google services (D)High correlation
Your location : coarse (network-based) location (D) is highly overall correlated with Dangerous permissions count and 1 other fieldsHigh correlation
Your location : fine (GPS) location (D) is highly overall correlated with Dangerous permissions count and 1 other fieldsHigh correlation
Your messages : Send Gmail (S) is highly overall correlated with Default : Audio File Access (S)High correlation
Your messages : edit SMS or MMS (D) is highly overall correlated with Dangerous permissions count and 2 other fieldsHigh correlation
Your messages : read SMS or MMS (D) is highly overall correlated with Dangerous permissions count and 2 other fieldsHigh correlation
Your messages : receive MMS (D) is highly overall correlated with Your messages : receive WAP (D)High correlation
Your messages : receive SMS (D) is highly overall correlated with Dangerous permissions count and 2 other fieldsHigh correlation
Your messages : receive WAP (D) is highly overall correlated with Your messages : receive MMS (D)High correlation
Your personal information : add or modify calendar events and send email to guests (D) is highly overall correlated with Your personal information : read calendar events (D)High correlation
Your personal information : choose widgets (S) is highly overall correlated with System tools : expand/collapse status bar (S) and 1 other fieldsHigh correlation
Your personal information : read Browser's history and bookmarks (D) is highly overall correlated with Your personal information : write Browser's history and bookmarks (D)High correlation
Your personal information : read calendar events (D) is highly overall correlated with Your personal information : add or modify calendar events and send email to guests (D)High correlation
Your personal information : read contact data (D) is highly overall correlated with Dangerous permissions count and 1 other fieldsHigh correlation
Your personal information : read user defined dictionary (D) is highly overall correlated with Your personal information : write to user defined dictionary (S)High correlation
Your personal information : retrieve system internal state (S) is highly overall correlated with System tools : read/write to resources owned by diag (S)High correlation
Your personal information : write Browser's history and bookmarks (D) is highly overall correlated with Your personal information : read Browser's history and bookmarks (D)High correlation
Your personal information : write contact data (D) is highly overall correlated with Dangerous permissions count and 1 other fieldsHigh correlation
Your personal information : write to user defined dictionary (S) is highly overall correlated with Your personal information : read user defined dictionary (D)High correlation
Default : Access DRM content. (S) is highly imbalanced (99.6%) Imbalance
Default : Access Email provider data (S) is highly imbalanced (99.2%) Imbalance
Default : Access download manager. (S) is highly imbalanced (99.5%) Imbalance
Default : Advanced download manager functions. (S) is highly imbalanced (99.9%) Imbalance
Default : Audio File Access (S) is highly imbalanced (99.8%) Imbalance
Default : Install DRM content. (S) is highly imbalanced (99.2%) Imbalance
Default : Modify Google settings (S) is highly imbalanced (99.9%) Imbalance
Default : Move application resources (S) is highly imbalanced (99.9%) Imbalance
Default : Read Google settings (S) is highly imbalanced (99.8%) Imbalance
Default : Send download notifications. (S) is highly imbalanced (99.3%) Imbalance
Default : Voice Search Shortcuts (S) is highly imbalanced (99.9%) Imbalance
Default : access SurfaceFlinger (S) is highly imbalanced (99.3%) Imbalance
Default : access checkin properties (S) is highly imbalanced (98.8%) Imbalance
Default : access the cache filesystem (S) is highly imbalanced (99.9%) Imbalance
Default : bind to a wallpaper (S) is highly imbalanced (99.2%) Imbalance
Default : bind to an input method (S) is highly imbalanced (99.5%) Imbalance
Default : change screen orientation (S) is highly imbalanced (97.1%) Imbalance
Default : control location update notifications (S) is highly imbalanced (97.4%) Imbalance
Default : control system backup and restore (S) is highly imbalanced (99.7%) Imbalance
Default : delete applications (S) is highly imbalanced (97.8%) Imbalance
Default : delete other applications' caches (S) is highly imbalanced (98.9%) Imbalance
Default : delete other applications' data (S) is highly imbalanced (99.2%) Imbalance
Default : directly call any phone numbers (S) is highly imbalanced (95.5%) Imbalance
Default : directly install applications (S) is highly imbalanced (95.5%) Imbalance
Default : disable or modify status bar (S) is highly imbalanced (97.6%) Imbalance
Default : display unauthorized windows (S) is highly imbalanced (99.8%) Imbalance
Default : enable or disable application components (S) is highly imbalanced (99.0%) Imbalance
Default : force application to close (S) is highly imbalanced (99.9%) Imbalance
Default : force device reboot (S) is highly imbalanced (99.3%) Imbalance
Default : interact with a device admin (S) is highly imbalanced (99.8%) Imbalance
Default : manage application tokens (S) is highly imbalanced (99.9%) Imbalance
Default : modify battery statistics (S) is highly imbalanced (94.1%) Imbalance
Default : modify secure system settings (S) is highly imbalanced (95.8%) Imbalance
Default : modify the Google services map (S) is highly imbalanced (99.5%) Imbalance
Default : monitor and control all application launching (S) is highly imbalanced (99.9%) Imbalance
Default : partial shutdown (S) is highly imbalanced (99.9%) Imbalance
Default : permission to install a location provider (S) is highly imbalanced (99.3%) Imbalance
Default : power device on or off (S) is highly imbalanced (94.5%) Imbalance
Default : press keys and control buttons (S) is highly imbalanced (99.0%) Imbalance
Default : prevent app switches (S) is highly imbalanced (99.8%) Imbalance
Default : read frame buffer (S) is highly imbalanced (99.8%) Imbalance
Default : read phone state and identity (S) is highly imbalanced (99.9%) Imbalance
Default : record what you type and actions you take (S) is highly imbalanced (99.9%) Imbalance
Default : set time (S) is highly imbalanced (99.9%) Imbalance
Default : update component usage statistics (S) is highly imbalanced (99.9%) Imbalance
Development tools : enable application debugging (D) is highly imbalanced (99.9%) Imbalance
Development tools : limit number of running processes (D) is highly imbalanced (99.9%) Imbalance
Development tools : make all background applications close (D) is highly imbalanced (99.9%) Imbalance
Development tools : send Linux signals to applications (D) is highly imbalanced (99.8%) Imbalance
Hardware controls : change your audio settings (D) is highly imbalanced (80.3%) Imbalance
Hardware controls : control flashlight (S) is highly imbalanced (88.0%) Imbalance
Hardware controls : record audio (D) is highly imbalanced (74.9%) Imbalance
Hardware controls : take pictures and videos (D) is highly imbalanced (63.8%) Imbalance
Hardware controls : test hardware (S) is highly imbalanced (98.4%) Imbalance
Network communication : Broadcast data messages to applications. (S) is highly imbalanced (99.9%) Imbalance
Network communication : control Near Field Communication (D) is highly imbalanced (98.4%) Imbalance
Network communication : create Bluetooth connections (D) is highly imbalanced (84.2%) Imbalance
Network communication : make/receive Internet calls (D) is highly imbalanced (99.7%) Imbalance
Network communication : receive data from Internet (S) is highly imbalanced (74.9%) Imbalance
Phone calls : intercept outgoing calls (D) is highly imbalanced (91.2%) Imbalance
Phone calls : modify phone state (S) is highly imbalanced (92.4%) Imbalance
Services that cost you money : directly call phone numbers (D) is highly imbalanced (59.3%) Imbalance
Services that cost you money : send SMS messages (D) is highly imbalanced (79.1%) Imbalance
System tools : allow Wi-Fi Multicast reception (D) is highly imbalanced (97.2%) Imbalance
System tools : automatically start at boot (S) is highly imbalanced (54.7%) Imbalance
System tools : bluetooth administration (D) is highly imbalanced (89.1%) Imbalance
System tools : change Wi-Fi state (D) is highly imbalanced (81.1%) Imbalance
System tools : change network connectivity (D) is highly imbalanced (86.3%) Imbalance
System tools : change your UI settings (D) is highly imbalanced (95.3%) Imbalance
System tools : delete all application cache data (D) is highly imbalanced (97.4%) Imbalance
System tools : disable keylock (D) is highly imbalanced (84.1%) Imbalance
System tools : display system-level alerts (D) is highly imbalanced (91.9%) Imbalance
System tools : expand/collapse status bar (S) is highly imbalanced (97.3%) Imbalance
System tools : force stop other applications (S) is highly imbalanced (99.4%) Imbalance
System tools : format external storage (D) is highly imbalanced (99.4%) Imbalance
System tools : kill background processes (S) is highly imbalanced (83.9%) Imbalance
System tools : make application always run (D) is highly imbalanced (96.7%) Imbalance
System tools : measure application storage space (S) is highly imbalanced (97.6%) Imbalance
System tools : modify global animation speed (D) is highly imbalanced (99.9%) Imbalance
System tools : modify global system settings (D) is highly imbalanced (74.4%) Imbalance
System tools : mount and unmount filesystems (D) is highly imbalanced (91.5%) Imbalance
System tools : read subscribed feeds (S) is highly imbalanced (98.8%) Imbalance
System tools : read sync settings (S) is highly imbalanced (92.1%) Imbalance
System tools : read sync statistics (S) is highly imbalanced (96.5%) Imbalance
System tools : read/write to resources owned by diag (S) is highly imbalanced (99.6%) Imbalance
System tools : reorder running applications (D) is highly imbalanced (98.7%) Imbalance
System tools : retrieve running applications (D) is highly imbalanced (70.9%) Imbalance
System tools : send package removed broadcast (S) is highly imbalanced (99.7%) Imbalance
System tools : send sticky broadcast (S) is highly imbalanced (92.5%) Imbalance
System tools : set preferred applications (S) is highly imbalanced (96.9%) Imbalance
System tools : set time zone (D) is highly imbalanced (99.7%) Imbalance
System tools : set wallpaper (S) is highly imbalanced (77.0%) Imbalance
System tools : set wallpaper size hints (S) is highly imbalanced (96.9%) Imbalance
System tools : write Access Point Name settings (D) is highly imbalanced (97.4%) Imbalance
System tools : write subscribed feeds (D) is highly imbalanced (98.7%) Imbalance
System tools : write sync settings (D) is highly imbalanced (92.5%) Imbalance
Your accounts : Google App Engine (D) is highly imbalanced (99.7%) Imbalance
Your accounts : Google Docs (D) is highly imbalanced (99.5%) Imbalance
Your accounts : Google Finance (D) is highly imbalanced (99.8%) Imbalance
Your accounts : Google Maps (D) is highly imbalanced (99.5%) Imbalance
Your accounts : Google Spreadsheets (D) is highly imbalanced (99.5%) Imbalance
Your accounts : Google Voice (D) is highly imbalanced (99.8%) Imbalance
Your accounts : Google mail (D) is highly imbalanced (99.3%) Imbalance
Your accounts : Picasa Web Albums (D) is highly imbalanced (99.8%) Imbalance
Your accounts : YouTube (D) is highly imbalanced (99.6%) Imbalance
Your accounts : YouTube usernames (D) is highly imbalanced (99.6%) Imbalance
Your accounts : access all Google services (S) is highly imbalanced (99.8%) Imbalance
Your accounts : access other Google services (D) is highly imbalanced (98.4%) Imbalance
Your accounts : act as an account authenticator (D) is highly imbalanced (94.1%) Imbalance
Your accounts : act as the AccountManagerService (S) is highly imbalanced (98.1%) Imbalance
Your accounts : contacts data in Google accounts (D) is highly imbalanced (99.7%) Imbalance
Your accounts : discover known accounts (S) is highly imbalanced (66.6%) Imbalance
Your accounts : manage the accounts list (D) is highly imbalanced (90.7%) Imbalance
Your accounts : read Google service configuration (S) is highly imbalanced (98.0%) Imbalance
Your accounts : use the authentication credentials of an account (D) is highly imbalanced (89.4%) Imbalance
Your accounts : view configured accounts (S) is highly imbalanced (95.7%) Imbalance
Your location : access extra location provider commands (S) is highly imbalanced (84.7%) Imbalance
Your location : mock location sources for testing (D) is highly imbalanced (84.9%) Imbalance
Your messages : Read Email attachments (D) is highly imbalanced (98.9%) Imbalance
Your messages : Send Gmail (S) is highly imbalanced (99.5%) Imbalance
Your messages : edit SMS or MMS (D) is highly imbalanced (88.8%) Imbalance
Your messages : modify Gmail (D) is highly imbalanced (99.5%) Imbalance
Your messages : read Gmail (D) is highly imbalanced (98.4%) Imbalance
Your messages : read SMS or MMS (D) is highly imbalanced (83.8%) Imbalance
Your messages : read instant messages (D) is highly imbalanced (99.8%) Imbalance
Your messages : receive MMS (D) is highly imbalanced (95.8%) Imbalance
Your messages : receive SMS (D) is highly imbalanced (80.9%) Imbalance
Your messages : receive WAP (D) is highly imbalanced (98.0%) Imbalance
Your messages : send SMS-received broadcast (S) is highly imbalanced (98.9%) Imbalance
Your messages : send WAP-PUSH-received broadcast (S) is highly imbalanced (99.6%) Imbalance
Your personal information : add or modify calendar events and send email to guests (D) is highly imbalanced (89.5%) Imbalance
Your personal information : choose widgets (S) is highly imbalanced (98.5%) Imbalance
Your personal information : read Browser's history and bookmarks (D) is highly imbalanced (85.9%) Imbalance
Your personal information : read calendar events (D) is highly imbalanced (89.0%) Imbalance
Your personal information : read contact data (D) is highly imbalanced (57.0%) Imbalance
Your personal information : read sensitive log data (D) is highly imbalanced (83.8%) Imbalance
Your personal information : read user defined dictionary (D) is highly imbalanced (98.5%) Imbalance
Your personal information : retrieve system internal state (S) is highly imbalanced (99.3%) Imbalance
Your personal information : set alarm in alarm clock (S) is highly imbalanced (99.5%) Imbalance
Your personal information : write Browser's history and bookmarks (D) is highly imbalanced (87.8%) Imbalance
Your personal information : write contact data (D) is highly imbalanced (75.9%) Imbalance
Your personal information : write to user defined dictionary (S) is highly imbalanced (98.4%) Imbalance
Related apps has 755 (2.5%) missing values Missing
Number of ratings is highly skewed (γ1 = 21.24636504) Skewed
Price is highly skewed (γ1 = 22.36372013) Skewed
Rating has 3303 (11.0%) zeros Zeros
Number of ratings has 3303 (11.0%) zeros Zeros
Price has 24322 (81.1%) zeros Zeros
Dangerous permissions count has 3822 (12.7%) zeros Zeros
Safe permissions count has 9894 (33.0%) zeros Zeros

Reproduction

Analysis started2025-08-13 14:00:20.033227
Analysis finished2025-08-13 14:01:37.621454
Duration1 minute and 17.59 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

App
Text

Distinct22823
Distinct (%)76.1%
Missing1
Missing (%)< 0.1%
Memory size2.2 MiB
2025-08-13T19:31:37.812259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length90
Median length66
Mean length18.117675
Min length1

Characters and Unicode

Total characters543494
Distinct characters167
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18427 ?
Unique (%)61.4%

Sample

1st rowCanada Post Corporation
2nd rowWord Farm
3rd rowFortunes of War FREE
4th rowBetter Keyboard: Avatar Purple
5th rowBoxing Day
ValueCountFrequency (%)
free 1683
 
2.0%
1393
 
1.7%
live 961
 
1.1%
wallpaper 878
 
1.0%
lite 877
 
1.0%
for 740
 
0.9%
the 718
 
0.9%
mobile 657
 
0.8%
pro 520
 
0.6%
of 491
 
0.6%
Other values (16377) 74926
89.4%
2025-08-13T19:31:38.077072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54008
 
9.9%
e 47060
 
8.7%
a 34733
 
6.4%
i 31025
 
5.7%
o 30718
 
5.7%
r 30689
 
5.6%
n 23040
 
4.2%
t 22801
 
4.2%
l 21561
 
4.0%
s 19210
 
3.5%
Other values (157) 228649
42.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 543494
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
54008
 
9.9%
e 47060
 
8.7%
a 34733
 
6.4%
i 31025
 
5.7%
o 30718
 
5.7%
r 30689
 
5.6%
n 23040
 
4.2%
t 22801
 
4.2%
l 21561
 
4.0%
s 19210
 
3.5%
Other values (157) 228649
42.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 543494
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
54008
 
9.9%
e 47060
 
8.7%
a 34733
 
6.4%
i 31025
 
5.7%
o 30718
 
5.7%
r 30689
 
5.6%
n 23040
 
4.2%
t 22801
 
4.2%
l 21561
 
4.0%
s 19210
 
3.5%
Other values (157) 228649
42.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 543494
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
54008
 
9.9%
e 47060
 
8.7%
a 34733
 
6.4%
i 31025
 
5.7%
o 30718
 
5.7%
r 30689
 
5.6%
n 23040
 
4.2%
t 22801
 
4.2%
l 21561
 
4.0%
s 19210
 
3.5%
Other values (157) 228649
42.1%
Distinct23485
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size2.4 MiB
2025-08-13T19:31:38.237316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length85
Median length74
Mean length25.627421
Min length4

Characters and Unicode

Total characters768797
Distinct characters64
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19273 ?
Unique (%)64.2%

Sample

1st rowcom.canadapost.android
2nd rowcom.realcasualgames.words
3rd rowfortunesofwar.free
4th rowcom.cc.betterkeyboard.skins.avatarpurple
5th rowindiaNIC.android.BoxingDay
ValueCountFrequency (%)
com.shazam.android 10
 
< 0.1%
com.apostek.slotmachine 9
 
< 0.1%
it.medieval.blueftp 9
 
< 0.1%
com.poynt.android 9
 
< 0.1%
com.netflix.mediaclient 8
 
< 0.1%
com.glu.android.skob2_free 8
 
< 0.1%
com.yellowbook.android2 8
 
< 0.1%
com.google.earth 8
 
< 0.1%
com.feelingtouch.dragon2 8
 
< 0.1%
com.mw.slotsroyale 8
 
< 0.1%
Other values (23471) 29914
99.7%
2025-08-13T19:31:38.476685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 71369
 
9.3%
o 68721
 
8.9%
e 60236
 
7.8%
a 54596
 
7.1%
i 45075
 
5.9%
m 44801
 
5.8%
c 43610
 
5.7%
r 41518
 
5.4%
t 36443
 
4.7%
s 34411
 
4.5%
Other values (54) 268017
34.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 768797
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 71369
 
9.3%
o 68721
 
8.9%
e 60236
 
7.8%
a 54596
 
7.1%
i 45075
 
5.9%
m 44801
 
5.8%
c 43610
 
5.7%
r 41518
 
5.4%
t 36443
 
4.7%
s 34411
 
4.5%
Other values (54) 268017
34.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 768797
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 71369
 
9.3%
o 68721
 
8.9%
e 60236
 
7.8%
a 54596
 
7.1%
i 45075
 
5.9%
m 44801
 
5.8%
c 43610
 
5.7%
r 41518
 
5.4%
t 36443
 
4.7%
s 34411
 
4.5%
Other values (54) 268017
34.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 768797
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 71369
 
9.3%
o 68721
 
8.9%
e 60236
 
7.8%
a 54596
 
7.1%
i 45075
 
5.9%
m 44801
 
5.8%
c 43610
 
5.7%
r 41518
 
5.4%
t 36443
 
4.7%
s 34411
 
4.5%
Other values (54) 268017
34.9%

Category
Categorical

Distinct30
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size2.0 MiB
Entertainment
2827 
Travel & Local
2154 
Books & Reference
1959 
Arcade & Action
1959 
Brain & Puzzle
 
1873
Other values (25)
19227 

Length

Max length17
Median length14
Mean length11.752725
Min length5

Characters and Unicode

Total characters352570
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBusiness
2nd rowBrain & Puzzle
3rd rowCards & Casino
4th rowLibraries & Demo
5th rowLifestyle

Common Values

ValueCountFrequency (%)
Entertainment 2827
 
9.4%
Travel & Local 2154
 
7.2%
Books & Reference 1959
 
6.5%
Arcade & Action 1959
 
6.5%
Brain & Puzzle 1873
 
6.2%
Casual 1678
 
5.6%
Personalization 1527
 
5.1%
Lifestyle 1435
 
4.8%
Tools 1329
 
4.4%
Education 1305
 
4.4%
Other values (20) 11953
39.8%

Length

2025-08-13T19:31:38.538882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
12290
22.4%
entertainment 2827
 
5.1%
local 2154
 
3.9%
travel 2154
 
3.9%
books 1959
 
3.6%
reference 1959
 
3.6%
arcade 1959
 
3.6%
action 1959
 
3.6%
brain 1873
 
3.4%
puzzle 1873
 
3.4%
Other values (31) 23913
43.5%

Most occurring characters

ValueCountFrequency (%)
e 32642
 
9.3%
a 28619
 
8.1%
n 27828
 
7.9%
i 26707
 
7.6%
24921
 
7.1%
o 24596
 
7.0%
t 21587
 
6.1%
s 19058
 
5.4%
r 17408
 
4.9%
c 14274
 
4.0%
Other values (32) 114930
32.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 352570
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 32642
 
9.3%
a 28619
 
8.1%
n 27828
 
7.9%
i 26707
 
7.6%
24921
 
7.1%
o 24596
 
7.0%
t 21587
 
6.1%
s 19058
 
5.4%
r 17408
 
4.9%
c 14274
 
4.0%
Other values (32) 114930
32.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 352570
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 32642
 
9.3%
a 28619
 
8.1%
n 27828
 
7.9%
i 26707
 
7.6%
24921
 
7.1%
o 24596
 
7.0%
t 21587
 
6.1%
s 19058
 
5.4%
r 17408
 
4.9%
c 14274
 
4.0%
Other values (32) 114930
32.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 352570
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 32642
 
9.3%
a 28619
 
8.1%
n 27828
 
7.9%
i 26707
 
7.6%
24921
 
7.1%
o 24596
 
7.0%
t 21587
 
6.1%
s 19058
 
5.4%
r 17408
 
4.9%
c 14274
 
4.0%
Other values (32) 114930
32.6%
Distinct23552
Distinct (%)78.5%
Missing3
Missing (%)< 0.1%
Memory size47.1 MiB
2025-08-13T19:31:38.974131image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length12273
Median length3626
Mean length1269.2648
Min length4

Characters and Unicode

Total characters38072867
Distinct characters198
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19613 ?
Unique (%)65.4%

Sample

1st rowCanada Post Mobile App gives you access to some of the the most popular tools on <a href="http://www.google.com/url?q=http://canadapost.ca&usg=AFQjCNGLsUtAzxPlFZBfYYGjv6mnRiMZJw" target="_blank">canadapost.ca</a>. You can now Find a Postal Code, create your own personalized stamps and postcards with Picture Postage, Track a Package and Find a Post Office anywhere in Canada.<p>Now introducing Picture Postage Postcard!<p>Turn your photos into printed postcards???with delivery anywhere in the world for just $2.45 per card! Take a photo or select one from your camera roll, choose the recipient(s) from your contacts list and write your personal message. We???ll print, stamp and mail the postcard to each person on your list!<p>Use Picture Postage to create a personalized stamp for your letters and invitations. Get started by taking a picture with your device, or access any photos that you have stored on your camera roll!<p>Use Find a Postal code for any address in Canada.<p>Use Track a Package to track and check the status of your items. You can give the item a name and save it in the app (e.g., Mom???s package), so you can easily keep track of it until it is delivered.<p>Use Find a Post Office to locate the nearest Canada Post retail outlets, based on your GPS coordinates or an address that you enter.
2nd rowSpeed and strategy combine in this exciting word search against the clock!<p>Speed and strategy combine to create an exciting, fast-paced word game sure to keep you busy with your friends for hours! Word Farm challenges you to find as many words as you can before the sun sets on the farm.<p>UPGRADABLE POWER-UPS<br>13 power-ups to help increase your scores and beat your friends, including ways to extend your games, find longer words, and much more! Keep upgrading your bonuses for even more power. Earn even more points with special letter types like bombs and extra time letters.<p>UNLIMITED REPLAY<br>Each game has a unique game board leading to an infinite combination of games! The average Word Farm board has over 700 words on it, with some as long as 15 letters! Word Farm uses the TWL06 dictionary, so Scrabble and Words With Friends players can sharpen their skills.<p>SECRET WORDS AND CHALLENGES<br>Word Farm features well over 60 challenges to earn you respect and bonuses. See if you can unlock them all! Hundreds of hidden words offering bonuses and extra points keep you guessing!<p>CHALLENGE YOUR FRIENDS<br>Taunt your friends by posting your scores and finds to Facebook. Compare your scores on a weekly basis with your friends and the rest of the world!<p>BEAUTIFUL AND ENGAGING<br>Word Farm is optimized for and tested on each device we support. Smooth graphics and engaging sounds and imagery make for a beautiful and engaging experience.<p>If you are a player of games like DropWords or TextTwist, you will love Word Farm!<p>------------------<br>DOWNLOAD PROBLEMS:<br>If you are having trouble downloading, please follow Google???s official directions at <a href="http://www.google.com/url?q=http://www.google.com/support/androidmarket/developer/bin/answer.py?hl%3Den%26answer%3D1067233&usg=AFQjCNHhLckB_dckLKRrfAvfAkH3dXcGbQ" target="_blank">http://www.google.com/support/androidmarket/developer/bin/answer.py?hl=en&answer=1067233</a><br>------------------<br>PERMISSIONS:<br>This app requires the following permissions for the following reasons:<br>Internet Access - Submit scores and read high score lists<br>Get Accounts - Allow you to select an account to play Word Farm with. This information is not used for any other purpose and is never transferred to any third parties.<br>Billing - Support for in-app purchases of tokens and bonuses.<br>------------------
3rd rowFortunes of War is a fast-paced, easy to learn, and challenging card game!<p>This is the premier fantasy card game for Android, created in the spirit of other wildly popular trading card games such as Magic the Gathering, Dominion, Yu-Gi-Oh, and Pokemon!<p>Fortunes of War is a uniquely fast-paced, easy to learn, and strategically challenging game offering many modes such as single player campaign, quick AI matches, ranked multiplayer games, achievements, tournaments and more!<p>You begin with a small deck of Fortune Cards that represent power, wealth and ability. Players take turns drawing a hand from their deck, playing their Fortune Cards, and purchasing new cards from The Card Market. You grow more powerful over the course of the battle with each Fortune Card gained. The key to victory comes in developing a strategy to build up your deck's Victory Points, while at the same time countering your opponent's strategy!<p>In Conquest Mode you are The Conqueror: A powerful warlord bent on world domination. Your secret weapon is the guidance of an enslaved fortune teller named Hagar, who has shown you the path to victory with his mystical visions. Follow his wisdom as you battle your way through the non-linear campaign ??? challenge the powerful Moon Elves, sly Humans, and vicious Orcs!<p>Recent Additions<br>* Playable step-by-step tutorial<br>* UI improvements and optimizations<br>* Disable &quot;pop-up&quot; cards option<br>* Join the ranked multiplayer queue!<br>* Create a private game for friendly play!<br>* Create a profile that tracks wins/played, rating, achievements and more!<br>* 1500 point-based rating system with Leaderboard.<br>* Over 120 Achievements!<br>* AI substitution for inactive players.<br>* AI substitution for long queue times.<p>FORUMS: <a href="http://www.google.com/url?q=http://www.WhalesongGames.com&usg=AFQjCNHGlL5iZ4gzsSBbhMrH02_geSFyjw" target="_blank">www.WhalesongGames.com</a>
4th rowSkin for Better Keyboard featuring a glossy feel.<p>You must download app &quot;Better Keyboard&quot; to apply, this addon is free but &quot;Better Keyboard&quot; is $2.99 <p>Don't rate low if you don't have better keyboard, don't be a troll.
5th rowBoxing Day by Christopher Jaymes<p>Based on a true story surrounding the 2004 tsunami, we follow author Chris Jaymes as he accidentally exchanged his would-be vacation in for a six-week stint as an aid worker in one of the world???s most tragic disasters
ValueCountFrequency (%)
the 194745
 
3.7%
and 148470
 
2.9%
to 131401
 
2.5%
98295
 
1.9%
a 89162
 
1.7%
of 83191
 
1.6%
you 83135
 
1.6%
your 78787
 
1.5%
for 60431
 
1.2%
in 56973
 
1.1%
Other values (267234) 4183777
80.3%
2025-08-13T19:31:39.407313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5253359
 
13.8%
e 2942080
 
7.7%
o 2187659
 
5.7%
a 2127424
 
5.6%
t 2092322
 
5.5%
r 1961604
 
5.2%
i 1796366
 
4.7%
n 1737136
 
4.6%
s 1608123
 
4.2%
? 1262285
 
3.3%
Other values (188) 15104509
39.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 38072867
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5253359
 
13.8%
e 2942080
 
7.7%
o 2187659
 
5.7%
a 2127424
 
5.6%
t 2092322
 
5.5%
r 1961604
 
5.2%
i 1796366
 
4.7%
n 1737136
 
4.6%
s 1608123
 
4.2%
? 1262285
 
3.3%
Other values (188) 15104509
39.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 38072867
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5253359
 
13.8%
e 2942080
 
7.7%
o 2187659
 
5.7%
a 2127424
 
5.6%
t 2092322
 
5.5%
r 1961604
 
5.2%
i 1796366
 
4.7%
n 1737136
 
4.6%
s 1608123
 
4.2%
? 1262285
 
3.3%
Other values (188) 15104509
39.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 38072867
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5253359
 
13.8%
e 2942080
 
7.7%
o 2187659
 
5.7%
a 2127424
 
5.6%
t 2092322
 
5.5%
r 1961604
 
5.2%
i 1796366
 
4.7%
n 1737136
 
4.6%
s 1608123
 
4.2%
? 1262285
 
3.3%
Other values (188) 15104509
39.7%

Rating
Real number (ℝ)

Zeros 

Distinct42
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5372146
Minimum0
Maximum5
Zeros3303
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-08-13T19:31:39.472467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.3
median4
Q34.4
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation1.4246851
Coefficient of variation (CV)0.40277035
Kurtosis1.4842243
Mean3.5372146
Median Absolute Deviation (MAD)0.5
Skewness-1.6030588
Sum106112.9
Variance2.0297278
MonotonicityNot monotonic
2025-08-13T19:31:39.534819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 3303
 
11.0%
5 2085
 
7.0%
4 2026
 
6.8%
4.2 2004
 
6.7%
4.3 1929
 
6.4%
4.4 1871
 
6.2%
4.5 1860
 
6.2%
4.1 1687
 
5.6%
4.6 1357
 
4.5%
3.9 1328
 
4.4%
Other values (32) 10549
35.2%
ValueCountFrequency (%)
0 3303
11.0%
1 320
 
1.1%
1.1 2
 
< 0.1%
1.2 6
 
< 0.1%
1.3 13
 
< 0.1%
1.4 12
 
< 0.1%
1.5 24
 
0.1%
1.6 17
 
0.1%
1.7 23
 
0.1%
1.8 50
 
0.2%
ValueCountFrequency (%)
5 2085
7.0%
4.9 184
 
0.6%
4.8 527
 
1.8%
4.7 816
 
2.7%
4.6 1357
4.5%
4.5 1860
6.2%
4.4 1871
6.2%
4.3 1929
6.4%
4.2 2004
6.7%
4.1 1687
5.6%

Number of ratings
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct5312
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6852.6085
Minimum0
Maximum1908590
Zeros3303
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-08-13T19:31:39.599977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median46
Q3716
95-th percentile26018
Maximum1908590
Range1908590
Interquartile range (IQR)712

Descriptive statistics

Standard deviation45868.992
Coefficient of variation (CV)6.6936542
Kurtosis658.29891
Mean6852.6085
Median Absolute Deviation (MAD)46
Skewness21.246365
Sum2.055714 × 108
Variance2.1039644 × 109
MonotonicityNot monotonic
2025-08-13T19:31:39.670685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3303
 
11.0%
1 1633
 
5.4%
2 1184
 
3.9%
3 912
 
3.0%
4 737
 
2.5%
5 600
 
2.0%
7 459
 
1.5%
6 452
 
1.5%
8 372
 
1.2%
9 335
 
1.1%
Other values (5302) 20012
66.7%
ValueCountFrequency (%)
0 3303
11.0%
1 1633
5.4%
2 1184
 
3.9%
3 912
 
3.0%
4 737
 
2.5%
5 600
 
2.0%
6 452
 
1.5%
7 459
 
1.5%
8 372
 
1.2%
9 335
 
1.1%
ValueCountFrequency (%)
1908590 1
< 0.1%
1908569 1
< 0.1%
1897622 1
< 0.1%
1897171 1
< 0.1%
1465019 1
< 0.1%
1443947 1
< 0.1%
1438355 1
< 0.1%
1438259 1
< 0.1%
1438180 1
< 0.1%
1437222 1
< 0.1%

Price
Real number (ℝ)

Skewed  Zeros 

Distinct425
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.62570719
Minimum0
Maximum158.07
Zeros24322
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-08-13T19:31:39.738204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.99
Maximum158.07
Range158.07
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.2226195
Coefficient of variation (CV)5.1503636
Kurtosis786.6313
Mean0.62570719
Median Absolute Deviation (MAD)0
Skewness22.36372
Sum18770.59
Variance10.385277
MonotonicityNot monotonic
2025-08-13T19:31:39.807454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24322
81.1%
0.99 1690
 
5.6%
1.99 609
 
2.0%
2.99 414
 
1.4%
4.99 215
 
0.7%
1 202
 
0.7%
9.99 167
 
0.6%
3.99 149
 
0.5%
1.95 92
 
0.3%
1.29 92
 
0.3%
Other values (415) 2047
 
6.8%
ValueCountFrequency (%)
0 24322
81.1%
0.94 1
 
< 0.1%
0.98 1
 
< 0.1%
0.99 1690
 
5.6%
1 202
 
0.7%
1.01 9
 
< 0.1%
1.02 6
 
< 0.1%
1.03 6
 
< 0.1%
1.04 2
 
< 0.1%
1.05 7
 
< 0.1%
ValueCountFrequency (%)
158.07 1
 
< 0.1%
149.99 2
< 0.1%
139.99 1
 
< 0.1%
99 1
 
< 0.1%
84.99 2
< 0.1%
69.95 4
< 0.1%
68.92 1
 
< 0.1%
68.69 3
< 0.1%
67.66 1
 
< 0.1%
65.97 1
 
< 0.1%

Related apps
Text

Missing 

Distinct23868
Distinct (%)81.6%
Missing755
Missing (%)2.5%
Memory size4.6 MiB
2025-08-13T19:31:39.983652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length276
Median length219
Mean length106.15224
Min length11

Characters and Unicode

Total characters3104316
Distinct characters68
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20368 ?
Unique (%)69.6%

Sample

1st row{com.adaffix.pub.ca.android, com.kevinquan.gasup, com.boxedinsoftware.ttcalert, com.svox.classic.langpack.fra_can_fem}
2nd row{air.com.zubawing.FastWordLite, com.joybits.doodlefarm, com.joybits.doodledevil_pay, touchy.words}
3rd row{com.kevinquan.condado, hu.monsta.pazaak, net.mpowers.brigade.android, com.sergiandreplace.mtgpedia}
4th row{eu.gdumoulin.betterandroid.skins.transparent.purple, eu.gdumoulin.betterandroid.skins.transparent.magenta, eu.gdumoulin.betterandroid.skins.transparent.hotpink, eu.gdumoulin.betterandroid.skins.transparent.cyan}
5th row{tmc.christmassanta.livewallpaper, tmc.winterhouse.livewallpaper, tmc.xrayandroid.livewallpaper, tmc.eiffel.livewallpaper}
ValueCountFrequency (%)
com.livewallpapers.ferrarihorse3d 92
 
0.1%
com.livewallpapers.smokeyheart3d 90
 
0.1%
mobi.mommadeuce.whatevericonpack 78
 
0.1%
com.livewallpapers.fairytail3d 75
 
0.1%
com.livewallpapers.neongirl3d 71
 
0.1%
mobi.mommadeuce.attitudeiforcrazyhome 69
 
0.1%
mobi.mommadeuce.attitudeii 66
 
0.1%
ch.cmsa.androidapp 63
 
0.1%
mobi.mommadeuce.donthateiconpack 61
 
0.1%
com.livewallpapers.neonskull3d 61
 
0.1%
Other values (37508) 114186
99.4%
2025-08-13T19:31:40.227790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 267091
 
8.6%
o 258171
 
8.3%
e 230576
 
7.4%
a 211095
 
6.8%
i 170794
 
5.5%
c 167604
 
5.4%
m 164236
 
5.3%
r 161473
 
5.2%
n 134556
 
4.3%
t 134359
 
4.3%
Other values (58) 1204361
38.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3104316
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 267091
 
8.6%
o 258171
 
8.3%
e 230576
 
7.4%
a 211095
 
6.8%
i 170794
 
5.5%
c 167604
 
5.4%
m 164236
 
5.3%
r 161473
 
5.2%
n 134556
 
4.3%
t 134359
 
4.3%
Other values (58) 1204361
38.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3104316
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 267091
 
8.6%
o 258171
 
8.3%
e 230576
 
7.4%
a 211095
 
6.8%
i 170794
 
5.5%
c 167604
 
5.4%
m 164236
 
5.3%
r 161473
 
5.2%
n 134556
 
4.3%
t 134359
 
4.3%
Other values (58) 1204361
38.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3104316
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 267091
 
8.6%
o 258171
 
8.3%
e 230576
 
7.4%
a 211095
 
6.8%
i 170794
 
5.5%
c 167604
 
5.4%
m 164236
 
5.3%
r 161473
 
5.2%
n 134556
 
4.3%
t 134359
 
4.3%
Other values (58) 1204361
38.8%

Dangerous permissions count
Real number (ℝ)

High correlation  Zeros 

Distinct28
Distinct (%)0.1%
Missing204
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean3.1111596
Minimum0
Maximum30
Zeros3822
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-08-13T19:31:40.280390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile9
Maximum30
Range30
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.0526023
Coefficient of variation (CV)0.98117831
Kurtosis8.1098244
Mean3.1111596
Median Absolute Deviation (MAD)1
Skewness2.2713639
Sum92697
Variance9.3183809
MonotonicityNot monotonic
2025-08-13T19:31:40.334188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 6569
21.9%
2 5015
16.7%
3 4573
15.2%
0 3822
12.7%
4 3234
10.8%
5 2164
 
7.2%
6 1384
 
4.6%
7 815
 
2.7%
9 538
 
1.8%
8 517
 
1.7%
Other values (18) 1164
 
3.9%
ValueCountFrequency (%)
0 3822
12.7%
1 6569
21.9%
2 5015
16.7%
3 4573
15.2%
4 3234
10.8%
5 2164
 
7.2%
6 1384
 
4.6%
7 815
 
2.7%
8 517
 
1.7%
9 538
 
1.8%
ValueCountFrequency (%)
30 2
 
< 0.1%
29 1
 
< 0.1%
28 2
 
< 0.1%
26 2
 
< 0.1%
23 20
 
0.1%
22 12
 
< 0.1%
21 8
 
< 0.1%
20 22
 
0.1%
19 110
0.4%
18 39
 
0.1%

Safe permissions count
Real number (ℝ)

High correlation  Zeros 

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3539785
Minimum0
Maximum16
Zeros9894
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size234.5 KiB
2025-08-13T19:31:40.381455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum16
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.523491
Coefficient of variation (CV)1.1251959
Kurtosis6.5688126
Mean1.3539785
Median Absolute Deviation (MAD)1
Skewness1.9974608
Sum40618
Variance2.3210248
MonotonicityNot monotonic
2025-08-13T19:31:40.429404image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 9894
33.0%
1 9826
32.8%
2 5201
17.3%
3 2650
 
8.8%
4 1227
 
4.1%
5 513
 
1.7%
6 326
 
1.1%
7 150
 
0.5%
8 85
 
0.3%
9 56
 
0.2%
Other values (6) 71
 
0.2%
ValueCountFrequency (%)
0 9894
33.0%
1 9826
32.8%
2 5201
17.3%
3 2650
 
8.8%
4 1227
 
4.1%
5 513
 
1.7%
6 326
 
1.1%
7 150
 
0.5%
8 85
 
0.3%
9 56
 
0.2%
ValueCountFrequency (%)
16 2
 
< 0.1%
14 2
 
< 0.1%
13 1
 
< 0.1%
12 13
 
< 0.1%
11 18
 
0.1%
10 35
 
0.1%
9 56
 
0.2%
8 85
 
0.3%
7 150
0.5%
6 326
1.1%

Default : Access DRM content. (S)
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29990 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%

Length

2025-08-13T19:31:40.483716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:40.620098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29978 
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%

Length

2025-08-13T19:31:40.658682image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:40.691001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:40.728864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:40.757790image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29987 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Length

2025-08-13T19:31:40.794551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:40.825549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29998 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Length

2025-08-13T19:31:40.863890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:40.894927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Default : Audio File Access (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29994 
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Length

2025-08-13T19:31:40.932822image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:40.964966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Default : Install DRM content. (S)
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29979 
1
 
20

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29979
99.9%
1 20
 
0.1%

Length

2025-08-13T19:31:41.002996image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:41.039840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29979
99.9%
1 20
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29979
99.9%
1 20
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29979
99.9%
1 20
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29979
99.9%
1 20
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29979
99.9%
1 20
 
0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:41.084712image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:41.118559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Default : Modify Google settings (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29997 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Length

2025-08-13T19:31:41.158525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:41.195112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Default : Move application resources (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29998 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Length

2025-08-13T19:31:41.237087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:41.274549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Default : Read Google settings (S)
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29994 
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Length

2025-08-13T19:31:41.317360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:41.352782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29983 
1
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29983
99.9%
1 16
 
0.1%

Length

2025-08-13T19:31:41.397656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:41.433439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29983
99.9%
1 16
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29983
99.9%
1 16
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29983
99.9%
1 16
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29983
99.9%
1 16
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29983
99.9%
1 16
 
0.1%

Default : Voice Search Shortcuts (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29997 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Length

2025-08-13T19:31:41.481311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:41.526237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29983 
1
 
16

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29983
99.9%
1 16
 
0.1%

Length

2025-08-13T19:31:41.581434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:41.626272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29983
99.9%
1 16
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29983
99.9%
1 16
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29983
99.9%
1 16
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29983
99.9%
1 16
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29983
99.9%
1 16
 
0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29968 
1
 
31

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29968
99.9%
1 31
 
0.1%

Length

2025-08-13T19:31:41.680634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:41.719992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29968
99.9%
1 31
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29968
99.9%
1 31
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29968
99.9%
1 31
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29968
99.9%
1 31
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29968
99.9%
1 31
 
0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29998 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Length

2025-08-13T19:31:41.765962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:41.803067image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:41.847682image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:41.882739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:41.922032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:41.954776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Default : bind to a wallpaper (S)
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29978 
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%

Length

2025-08-13T19:31:42.005698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:42.044237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29986 
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29986
> 99.9%
1 13
 
< 0.1%

Length

2025-08-13T19:31:42.088116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:42.124516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29986
> 99.9%
1 13
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29986
> 99.9%
1 13
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29986
> 99.9%
1 13
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29986
> 99.9%
1 13
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29986
> 99.9%
1 13
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29910 
1
 
89

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29910
99.7%
1 89
 
0.3%

Length

2025-08-13T19:31:42.166869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:42.200664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29910
99.7%
1 89
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 29910
99.7%
1 89
 
0.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29910
99.7%
1 89
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29910
99.7%
1 89
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29910
99.7%
1 89
 
0.3%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:42.245665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:42.288238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29920 
1
 
79

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29920
99.7%
1 79
 
0.3%

Length

2025-08-13T19:31:42.332139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:42.366622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29920
99.7%
1 79
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 29920
99.7%
1 79
 
0.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29920
99.7%
1 79
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29920
99.7%
1 79
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29920
99.7%
1 79
 
0.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29992 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Length

2025-08-13T19:31:42.407705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:42.445398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Default : delete applications (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29934 
1
 
65

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29934
99.8%
1 65
 
0.2%

Length

2025-08-13T19:31:42.486846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:42.522141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29934
99.8%
1 65
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 29934
99.8%
1 65
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29934
99.8%
1 65
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29934
99.8%
1 65
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29934
99.8%
1 65
 
0.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29969 
1
 
30

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29969
99.9%
1 30
 
0.1%

Length

2025-08-13T19:31:42.566597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:42.601209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29969
99.9%
1 30
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29969
99.9%
1 30
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29969
99.9%
1 30
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29969
99.9%
1 30
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29969
99.9%
1 30
 
0.1%

Default : delete other applications' data (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29978 
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%

Length

2025-08-13T19:31:42.646113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:42.683341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29978
99.9%
1 21
 
0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29852 
1
 
147

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29852
99.5%
1 147
 
0.5%

Length

2025-08-13T19:31:42.730882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:42.775051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29852
99.5%
1 147
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 29852
99.5%
1 147
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29852
99.5%
1 147
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29852
99.5%
1 147
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29852
99.5%
1 147
 
0.5%

Default : directly install applications (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29850 
1
 
149

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29850
99.5%
1 149
 
0.5%

Length

2025-08-13T19:31:42.846723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:42.899954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29850
99.5%
1 149
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 29850
99.5%
1 149
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29850
99.5%
1 149
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29850
99.5%
1 149
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29850
99.5%
1 149
 
0.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29928 
1
 
71

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29928
99.8%
1 71
 
0.2%

Length

2025-08-13T19:31:42.954474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:43.002789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29928
99.8%
1 71
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 29928
99.8%
1 71
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29928
99.8%
1 71
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29928
99.8%
1 71
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29928
99.8%
1 71
 
0.2%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:43.066455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:43.132373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29994 
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Length

2025-08-13T19:31:43.201254image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:43.270625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29974 
1
 
25

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29974
99.9%
1 25
 
0.1%

Length

2025-08-13T19:31:43.321676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:43.357544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29974
99.9%
1 25
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29974
99.9%
1 25
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29974
99.9%
1 25
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29974
99.9%
1 25
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29974
99.9%
1 25
 
0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29997 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Length

2025-08-13T19:31:43.403244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:43.443303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Default : force device reboot (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29982 
1
 
17

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%

Length

2025-08-13T19:31:43.494424image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:43.533838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:43.699128image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:43.734271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29994 
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Length

2025-08-13T19:31:43.776787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:43.815070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29998 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Length

2025-08-13T19:31:43.858969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:43.894850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:43.941023image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:44.003652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29795 
1
 
204

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29795
99.3%
1 204
 
0.7%

Length

2025-08-13T19:31:44.044865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:44.081685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29795
99.3%
1 204
 
0.7%

Most occurring characters

ValueCountFrequency (%)
0 29795
99.3%
1 204
 
0.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29795
99.3%
1 204
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29795
99.3%
1 204
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29795
99.3%
1 204
 
0.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29861 
1
 
138

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29861
99.5%
1 138
 
0.5%

Length

2025-08-13T19:31:44.125034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:44.160820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29861
99.5%
1 138
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 29861
99.5%
1 138
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29861
99.5%
1 138
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29861
99.5%
1 138
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29861
99.5%
1 138
 
0.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29987 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Length

2025-08-13T19:31:44.200343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:44.230468image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:44.268740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:44.296940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29996 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Length

2025-08-13T19:31:44.335271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:44.372689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Default : partial shutdown (S)
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29997 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Length

2025-08-13T19:31:44.415442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:44.450858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:44.494923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:44.527761image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29982 
1
 
17

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%

Length

2025-08-13T19:31:44.567241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:44.604072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%

Default : power device on or off (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29809 
1
 
190

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29809
99.4%
1 190
 
0.6%

Length

2025-08-13T19:31:44.646296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:44.682386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29809
99.4%
1 190
 
0.6%

Most occurring characters

ValueCountFrequency (%)
0 29809
99.4%
1 190
 
0.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29809
99.4%
1 190
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29809
99.4%
1 190
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29809
99.4%
1 190
 
0.6%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29972 
1
 
27

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29972
99.9%
1 27
 
0.1%

Length

2025-08-13T19:31:44.728529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:44.764494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29972
99.9%
1 27
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29972
99.9%
1 27
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29972
99.9%
1 27
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29972
99.9%
1 27
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29972
99.9%
1 27
 
0.1%

Default : prevent app switches (S)
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29995 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Length

2025-08-13T19:31:44.807420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:44.845419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Default : read frame buffer (S)
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29995 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Length

2025-08-13T19:31:44.890917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:44.928294image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:44.969985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:44.998753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29998 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Length

2025-08-13T19:31:45.035523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:45.065905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29996 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Length

2025-08-13T19:31:45.103220image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:45.135076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:45.172113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:45.200500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:45.237029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:45.265596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Default : set time (S)
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29997 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Length

2025-08-13T19:31:45.300752image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:45.332479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:45.369811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:45.398431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Default : start IM service (S)
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:45.435563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:45.465162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Default : update component usage statistics (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29998 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Length

2025-08-13T19:31:45.500871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:45.533650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29998
> 99.9%
1 1
 
< 0.1%

Default : write contact data (S)
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:45.571990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:45.601519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:45.638548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:45.667601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29996 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Length

2025-08-13T19:31:45.702756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:45.735143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Development tools : limit number of running processes (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29997 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Length

2025-08-13T19:31:45.772803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:45.803381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Development tools : make all background applications close (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29996 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Length

2025-08-13T19:31:45.842820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:45.873728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29995 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Length

2025-08-13T19:31:45.911105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:45.943281image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Hardware controls : change your audio settings (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29083 
1
 
916

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29083
96.9%
1 916
 
3.1%

Length

2025-08-13T19:31:45.987153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:46.023451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29083
96.9%
1 916
 
3.1%

Most occurring characters

ValueCountFrequency (%)
0 29083
96.9%
1 916
 
3.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29083
96.9%
1 916
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29083
96.9%
1 916
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29083
96.9%
1 916
 
3.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29511 
1
 
488

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29511
98.4%
1 488
 
1.6%

Length

2025-08-13T19:31:46.068965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:46.105057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29511
98.4%
1 488
 
1.6%

Most occurring characters

ValueCountFrequency (%)
0 29511
98.4%
1 488
 
1.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29511
98.4%
1 488
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29511
98.4%
1 488
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29511
98.4%
1 488
 
1.6%

Hardware controls : control vibrator (S)
Categorical

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
23082 
1
6917 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 23082
76.9%
1 6917
 
23.1%

Length

2025-08-13T19:31:46.150250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:46.189990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 23082
76.9%
1 6917
 
23.1%

Most occurring characters

ValueCountFrequency (%)
0 23082
76.9%
1 6917
 
23.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 23082
76.9%
1 6917
 
23.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 23082
76.9%
1 6917
 
23.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 23082
76.9%
1 6917
 
23.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
28739 
1
 
1260

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28739
95.8%
1 1260
 
4.2%

Length

2025-08-13T19:31:46.237307image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:46.274134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 28739
95.8%
1 1260
 
4.2%

Most occurring characters

ValueCountFrequency (%)
0 28739
95.8%
1 1260
 
4.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 28739
95.8%
1 1260
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 28739
95.8%
1 1260
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 28739
95.8%
1 1260
 
4.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
27927 
1
 
2072

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 27927
93.1%
1 2072
 
6.9%

Length

2025-08-13T19:31:46.318670image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:46.353880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 27927
93.1%
1 2072
 
6.9%

Most occurring characters

ValueCountFrequency (%)
0 27927
93.1%
1 2072
 
6.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 27927
93.1%
1 2072
 
6.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 27927
93.1%
1 2072
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 27927
93.1%
1 2072
 
6.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29955 
1
 
44

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29955
99.9%
1 44
 
0.1%

Length

2025-08-13T19:31:46.396615image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:46.433440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29955
99.9%
1 44
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29955
99.9%
1 44
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29955
99.9%
1 44
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29955
99.9%
1 44
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29955
99.9%
1 44
 
0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29997 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Length

2025-08-13T19:31:46.477550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:46.518615image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29997
> 99.9%
1 2
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29956 
1
 
43

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29956
99.9%
1 43
 
0.1%

Length

2025-08-13T19:31:46.558991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:46.589206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29956
99.9%
1 43
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29956
99.9%
1 43
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29956
99.9%
1 43
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29956
99.9%
1 43
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29956
99.9%
1 43
 
0.1%

Network communication : create Bluetooth connections (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29307 
1
 
692

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29307
97.7%
1 692
 
2.3%

Length

2025-08-13T19:31:46.626362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:46.755401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29307
97.7%
1 692
 
2.3%

Most occurring characters

ValueCountFrequency (%)
0 29307
97.7%
1 692
 
2.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29307
97.7%
1 692
 
2.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29307
97.7%
1 692
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29307
97.7%
1 692
 
2.3%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:46.792838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:46.821026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
1
24464 
0
5535 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
1 24464
81.5%
0 5535
 
18.5%

Length

2025-08-13T19:31:46.857471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:46.888192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1 24464
81.5%
0 5535
 
18.5%

Most occurring characters

ValueCountFrequency (%)
1 24464
81.5%
0 5535
 
18.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 24464
81.5%
0 5535
 
18.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 24464
81.5%
0 5535
 
18.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 24464
81.5%
0 5535
 
18.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29992 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Length

2025-08-13T19:31:46.928008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:46.958022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
28740 
1
 
1259

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28740
95.8%
1 1259
 
4.2%

Length

2025-08-13T19:31:46.996923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:47.029889image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 28740
95.8%
1 1259
 
4.2%

Most occurring characters

ValueCountFrequency (%)
0 28740
95.8%
1 1259
 
4.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 28740
95.8%
1 1259
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 28740
95.8%
1 1259
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 28740
95.8%
1 1259
 
4.2%

Network communication : view Wi-Fi state (S)
Categorical

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
25784 
1
4215 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 25784
85.9%
1 4215
 
14.1%

Length

2025-08-13T19:31:47.081219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:47.136638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 25784
85.9%
1 4215
 
14.1%

Most occurring characters

ValueCountFrequency (%)
0 25784
85.9%
1 4215
 
14.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 25784
85.9%
1 4215
 
14.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 25784
85.9%
1 4215
 
14.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 25784
85.9%
1 4215
 
14.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
1
17039 
0
12960 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
1 17039
56.8%
0 12960
43.2%

Length

2025-08-13T19:31:47.189402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:47.232329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1 17039
56.8%
0 12960
43.2%

Most occurring characters

ValueCountFrequency (%)
1 17039
56.8%
0 12960
43.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 17039
56.8%
0 12960
43.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 17039
56.8%
0 12960
43.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 17039
56.8%
0 12960
43.2%

Phone calls : intercept outgoing calls (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29667 
1
 
332

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29667
98.9%
1 332
 
1.1%

Length

2025-08-13T19:31:47.287927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:47.336365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29667
98.9%
1 332
 
1.1%

Most occurring characters

ValueCountFrequency (%)
0 29667
98.9%
1 332
 
1.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29667
98.9%
1 332
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29667
98.9%
1 332
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29667
98.9%
1 332
 
1.1%

Phone calls : modify phone state (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29721 
1
 
278

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29721
99.1%
1 278
 
0.9%

Length

2025-08-13T19:31:47.393370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:47.472490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29721
99.1%
1 278
 
0.9%

Most occurring characters

ValueCountFrequency (%)
0 29721
99.1%
1 278
 
0.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29721
99.1%
1 278
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29721
99.1%
1 278
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29721
99.1%
1 278
 
0.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
18860 
1
11139 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18860
62.9%
1 11139
37.1%

Length

2025-08-13T19:31:47.684296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:47.797037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 18860
62.9%
1 11139
37.1%

Most occurring characters

ValueCountFrequency (%)
0 18860
62.9%
1 11139
37.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 18860
62.9%
1 11139
37.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 18860
62.9%
1 11139
37.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 18860
62.9%
1 11139
37.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
27556 
1
 
2443

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 27556
91.9%
1 2443
 
8.1%

Length

2025-08-13T19:31:47.984009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:48.088753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 27556
91.9%
1 2443
 
8.1%

Most occurring characters

ValueCountFrequency (%)
0 27556
91.9%
1 2443
 
8.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 27556
91.9%
1 2443
 
8.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 27556
91.9%
1 2443
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 27556
91.9%
1 2443
 
8.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29013 
1
 
986

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29013
96.7%
1 986
 
3.3%

Length

2025-08-13T19:31:48.205866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:48.307033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29013
96.7%
1 986
 
3.3%

Most occurring characters

ValueCountFrequency (%)
0 29013
96.7%
1 986
 
3.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29013
96.7%
1 986
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29013
96.7%
1 986
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29013
96.7%
1 986
 
3.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
18103 
1
11896 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 18103
60.3%
1 11896
39.7%

Length

2025-08-13T19:31:48.428362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:48.510379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 18103
60.3%
1 11896
39.7%

Most occurring characters

ValueCountFrequency (%)
0 18103
60.3%
1 11896
39.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 18103
60.3%
1 11896
39.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 18103
60.3%
1 11896
39.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 18103
60.3%
1 11896
39.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29915 
1
 
84

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29915
99.7%
1 84
 
0.3%

Length

2025-08-13T19:31:48.618542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:48.703042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29915
99.7%
1 84
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 29915
99.7%
1 84
 
0.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29915
99.7%
1 84
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29915
99.7%
1 84
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29915
99.7%
1 84
 
0.3%

System tools : automatically start at boot (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
27152 
1
2847 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 27152
90.5%
1 2847
 
9.5%

Length

2025-08-13T19:31:48.807721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:48.895994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 27152
90.5%
1 2847
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0 27152
90.5%
1 2847
 
9.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 27152
90.5%
1 2847
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 27152
90.5%
1 2847
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 27152
90.5%
1 2847
 
9.5%

System tools : bluetooth administration (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29564 
1
 
435

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29564
98.5%
1 435
 
1.5%

Length

2025-08-13T19:31:48.996894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:49.074663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29564
98.5%
1 435
 
1.5%

Most occurring characters

ValueCountFrequency (%)
0 29564
98.5%
1 435
 
1.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29564
98.5%
1 435
 
1.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29564
98.5%
1 435
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29564
98.5%
1 435
 
1.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29129 
1
 
870

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29129
97.1%
1 870
 
2.9%

Length

2025-08-13T19:31:49.191545image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:49.277695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29129
97.1%
1 870
 
2.9%

Most occurring characters

ValueCountFrequency (%)
0 29129
97.1%
1 870
 
2.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29129
97.1%
1 870
 
2.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29129
97.1%
1 870
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29129
97.1%
1 870
 
2.9%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:49.387646image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:49.574590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29420 
1
 
579

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29420
98.1%
1 579
 
1.9%

Length

2025-08-13T19:31:49.688659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:49.792846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29420
98.1%
1 579
 
1.9%

Most occurring characters

ValueCountFrequency (%)
0 29420
98.1%
1 579
 
1.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29420
98.1%
1 579
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29420
98.1%
1 579
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29420
98.1%
1 579
 
1.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29843 
1
 
156

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29843
99.5%
1 156
 
0.5%

Length

2025-08-13T19:31:49.929873image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:50.138222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29843
99.5%
1 156
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 29843
99.5%
1 156
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29843
99.5%
1 156
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29843
99.5%
1 156
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29843
99.5%
1 156
 
0.5%

System tools : delete all application cache data (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29920 
1
 
79

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29920
99.7%
1 79
 
0.3%

Length

2025-08-13T19:31:50.252336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:50.345568image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29920
99.7%
1 79
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 29920
99.7%
1 79
 
0.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29920
99.7%
1 79
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29920
99.7%
1 79
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29920
99.7%
1 79
 
0.3%

System tools : disable keylock (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29304 
1
 
695

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29304
97.7%
1 695
 
2.3%

Length

2025-08-13T19:31:50.444705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:50.543866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29304
97.7%
1 695
 
2.3%

Most occurring characters

ValueCountFrequency (%)
0 29304
97.7%
1 695
 
2.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29304
97.7%
1 695
 
2.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29304
97.7%
1 695
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29304
97.7%
1 695
 
2.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29697 
1
 
302

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29697
99.0%
1 302
 
1.0%

Length

2025-08-13T19:31:50.729282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:50.893871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29697
99.0%
1 302
 
1.0%

Most occurring characters

ValueCountFrequency (%)
0 29697
99.0%
1 302
 
1.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29697
99.0%
1 302
 
1.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29697
99.0%
1 302
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29697
99.0%
1 302
 
1.0%

System tools : expand/collapse status bar (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29918 
1
 
81

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29918
99.7%
1 81
 
0.3%

Length

2025-08-13T19:31:50.972230image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:51.048848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29918
99.7%
1 81
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 29918
99.7%
1 81
 
0.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29918
99.7%
1 81
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29918
99.7%
1 81
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29918
99.7%
1 81
 
0.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29985 
1
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29985
> 99.9%
1 14
 
< 0.1%

Length

2025-08-13T19:31:51.138046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:51.206581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29985
> 99.9%
1 14
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29985
> 99.9%
1 14
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29985
> 99.9%
1 14
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29985
> 99.9%
1 14
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29985
> 99.9%
1 14
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29985 
1
 
14

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29985
> 99.9%
1 14
 
< 0.1%

Length

2025-08-13T19:31:51.289594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:51.357459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29985
> 99.9%
1 14
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29985
> 99.9%
1 14
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29985
> 99.9%
1 14
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29985
> 99.9%
1 14
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29985
> 99.9%
1 14
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29290 
1
 
709

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29290
97.6%
1 709
 
2.4%

Length

2025-08-13T19:31:51.439435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:51.508034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29290
97.6%
1 709
 
2.4%

Most occurring characters

ValueCountFrequency (%)
0 29290
97.6%
1 709
 
2.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29290
97.6%
1 709
 
2.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29290
97.6%
1 709
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29290
97.6%
1 709
 
2.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29897 
1
 
102

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29897
99.7%
1 102
 
0.3%

Length

2025-08-13T19:31:51.587504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:51.653196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29897
99.7%
1 102
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 29897
99.7%
1 102
 
0.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29897
99.7%
1 102
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29897
99.7%
1 102
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29897
99.7%
1 102
 
0.3%

System tools : measure application storage space (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29929 
1
 
70

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29929
99.8%
1 70
 
0.2%

Length

2025-08-13T19:31:51.734984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:51.792391image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29929
99.8%
1 70
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 29929
99.8%
1 70
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29929
99.8%
1 70
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29929
99.8%
1 70
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29929
99.8%
1 70
 
0.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29996 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Length

2025-08-13T19:31:51.856670image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:51.907091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29996
> 99.9%
1 3
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
28707 
1
 
1292

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28707
95.7%
1 1292
 
4.3%

Length

2025-08-13T19:31:51.968823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:52.023340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 28707
95.7%
1 1292
 
4.3%

Most occurring characters

ValueCountFrequency (%)
0 28707
95.7%
1 1292
 
4.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 28707
95.7%
1 1292
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 28707
95.7%
1 1292
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 28707
95.7%
1 1292
 
4.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29682 
1
 
317

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29682
98.9%
1 317
 
1.1%

Length

2025-08-13T19:31:52.085588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:52.136307image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29682
98.9%
1 317
 
1.1%

Most occurring characters

ValueCountFrequency (%)
0 29682
98.9%
1 317
 
1.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29682
98.9%
1 317
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29682
98.9%
1 317
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29682
98.9%
1 317
 
1.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
23896 
1
6103 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 23896
79.7%
1 6103
 
20.3%

Length

2025-08-13T19:31:52.202086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:52.253446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 23896
79.7%
1 6103
 
20.3%

Most occurring characters

ValueCountFrequency (%)
0 23896
79.7%
1 6103
 
20.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 23896
79.7%
1 6103
 
20.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 23896
79.7%
1 6103
 
20.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 23896
79.7%
1 6103
 
20.3%

System tools : read subscribed feeds (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29967 
1
 
32

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29967
99.9%
1 32
 
0.1%

Length

2025-08-13T19:31:52.318280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:52.371305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29967
99.9%
1 32
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29967
99.9%
1 32
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29967
99.9%
1 32
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29967
99.9%
1 32
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29967
99.9%
1 32
 
0.1%

System tools : read sync settings (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29708 
1
 
291

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29708
99.0%
1 291
 
1.0%

Length

2025-08-13T19:31:52.432906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:52.483141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29708
99.0%
1 291
 
1.0%

Most occurring characters

ValueCountFrequency (%)
0 29708
99.0%
1 291
 
1.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29708
99.0%
1 291
 
1.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29708
99.0%
1 291
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29708
99.0%
1 291
 
1.0%

System tools : read sync statistics (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29887 
1
 
112

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29887
99.6%
1 112
 
0.4%

Length

2025-08-13T19:31:52.548390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:52.599158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29887
99.6%
1 112
 
0.4%

Most occurring characters

ValueCountFrequency (%)
0 29887
99.6%
1 112
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29887
99.6%
1 112
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29887
99.6%
1 112
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29887
99.6%
1 112
 
0.4%

System tools : read/write to resources owned by diag (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29990 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%

Length

2025-08-13T19:31:52.661283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:52.714591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29965 
1
 
34

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29965
99.9%
1 34
 
0.1%

Length

2025-08-13T19:31:52.781297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:52.847137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29965
99.9%
1 34
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29965
99.9%
1 34
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29965
99.9%
1 34
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29965
99.9%
1 34
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29965
99.9%
1 34
 
0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
28469 
1
 
1530

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28469
94.9%
1 1530
 
5.1%

Length

2025-08-13T19:31:53.098256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:53.163300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 28469
94.9%
1 1530
 
5.1%

Most occurring characters

ValueCountFrequency (%)
0 28469
94.9%
1 1530
 
5.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 28469
94.9%
1 1530
 
5.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 28469
94.9%
1 1530
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 28469
94.9%
1 1530
 
5.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29993 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

Length

2025-08-13T19:31:53.240740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:53.309045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29725 
1
 
274

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29725
99.1%
1 274
 
0.9%

Length

2025-08-13T19:31:53.387381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:53.453504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29725
99.1%
1 274
 
0.9%

Most occurring characters

ValueCountFrequency (%)
0 29725
99.1%
1 274
 
0.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29725
99.1%
1 274
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29725
99.1%
1 274
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29725
99.1%
1 274
 
0.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29905 
1
 
94

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29905
99.7%
1 94
 
0.3%

Length

2025-08-13T19:31:53.529615image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:53.580600image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29905
99.7%
1 94
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 29905
99.7%
1 94
 
0.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29905
99.7%
1 94
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29905
99.7%
1 94
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29905
99.7%
1 94
 
0.3%

System tools : set time zone (D)
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29993 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

Length

2025-08-13T19:31:53.643910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:53.694434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

System tools : set wallpaper (S)
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
28877 
1
 
1122

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28877
96.3%
1 1122
 
3.7%

Length

2025-08-13T19:31:53.756204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:53.809216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 28877
96.3%
1 1122
 
3.7%

Most occurring characters

ValueCountFrequency (%)
0 28877
96.3%
1 1122
 
3.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 28877
96.3%
1 1122
 
3.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 28877
96.3%
1 1122
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 28877
96.3%
1 1122
 
3.7%

System tools : set wallpaper size hints (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29904 
1
 
95

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29904
99.7%
1 95
 
0.3%

Length

2025-08-13T19:31:53.871001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:53.920899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29904
99.7%
1 95
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 29904
99.7%
1 95
 
0.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29904
99.7%
1 95
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29904
99.7%
1 95
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29904
99.7%
1 95
 
0.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29921 
1
 
78

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29921
99.7%
1 78
 
0.3%

Length

2025-08-13T19:31:53.985031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:54.035357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29921
99.7%
1 78
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 29921
99.7%
1 78
 
0.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29921
99.7%
1 78
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29921
99.7%
1 78
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29921
99.7%
1 78
 
0.3%

System tools : write subscribed feeds (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29965 
1
 
34

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29965
99.9%
1 34
 
0.1%

Length

2025-08-13T19:31:54.097766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:54.151445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29965
99.9%
1 34
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29965
99.9%
1 34
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29965
99.9%
1 34
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29965
99.9%
1 34
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29965
99.9%
1 34
 
0.1%

System tools : write sync settings (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29727 
1
 
272

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29727
99.1%
1 272
 
0.9%

Length

2025-08-13T19:31:54.213704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:54.259803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29727
99.1%
1 272
 
0.9%

Most occurring characters

ValueCountFrequency (%)
0 29727
99.1%
1 272
 
0.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29727
99.1%
1 272
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29727
99.1%
1 272
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29727
99.1%
1 272
 
0.9%

Your accounts : Blogger (D)
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:54.306848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:54.339674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29992 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Length

2025-08-13T19:31:54.382478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:54.417954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29992
> 99.9%
1 7
 
< 0.1%

Your accounts : Google Docs (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29987 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Length

2025-08-13T19:31:54.461095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:54.495246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Your accounts : Google Finance (D)
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29994 
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Length

2025-08-13T19:31:54.537052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:54.573140image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Your accounts : Google Maps (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29988 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29988
> 99.9%
1 11
 
< 0.1%

Length

2025-08-13T19:31:54.618417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:54.653739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29988
> 99.9%
1 11
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29988
> 99.9%
1 11
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29988
> 99.9%
1 11
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29988
> 99.9%
1 11
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29988
> 99.9%
1 11
 
< 0.1%

Your accounts : Google Spreadsheets (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29987 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Length

2025-08-13T19:31:54.696308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:54.732544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Your accounts : Google Voice (D)
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29994 
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Length

2025-08-13T19:31:54.774883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:54.810231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Your accounts : Google mail (D)
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29981 
1
 
18

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29981
99.9%
1 18
 
0.1%

Length

2025-08-13T19:31:54.854620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:54.889694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29981
99.9%
1 18
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29981
99.9%
1 18
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29981
99.9%
1 18
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29981
99.9%
1 18
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29981
99.9%
1 18
 
0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29995 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Length

2025-08-13T19:31:54.931667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:54.968453image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29995
> 99.9%
1 4
 
< 0.1%

Your accounts : YouTube (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29989 
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29989
> 99.9%
1 10
 
< 0.1%

Length

2025-08-13T19:31:55.012231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:55.050440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29989
> 99.9%
1 10
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29989
> 99.9%
1 10
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29989
> 99.9%
1 10
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29989
> 99.9%
1 10
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29989
> 99.9%
1 10
 
< 0.1%

Your accounts : YouTube usernames (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29990 
1
 
9

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%

Length

2025-08-13T19:31:55.100340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:55.141722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29990
> 99.9%
1 9
 
< 0.1%

Your accounts : access all Google services (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29994 
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Length

2025-08-13T19:31:55.191125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:55.229294image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Your accounts : access other Google services (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29955 
1
 
44

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29955
99.9%
1 44
 
0.1%

Length

2025-08-13T19:31:55.272800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:55.306845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29955
99.9%
1 44
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29955
99.9%
1 44
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29955
99.9%
1 44
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29955
99.9%
1 44
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29955
99.9%
1 44
 
0.1%

Your accounts : act as an account authenticator (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29794 
1
 
205

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29794
99.3%
1 205
 
0.7%

Length

2025-08-13T19:31:55.349297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:55.384201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29794
99.3%
1 205
 
0.7%

Most occurring characters

ValueCountFrequency (%)
0 29794
99.3%
1 205
 
0.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29794
99.3%
1 205
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29794
99.3%
1 205
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29794
99.3%
1 205
 
0.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29945 
1
 
54

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29945
99.8%
1 54
 
0.2%

Length

2025-08-13T19:31:55.426085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:55.463161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29945
99.8%
1 54
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 29945
99.8%
1 54
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29945
99.8%
1 54
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29945
99.8%
1 54
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29945
99.8%
1 54
 
0.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29993 
1
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

Length

2025-08-13T19:31:55.505585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:55.540121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29993
> 99.9%
1 6
 
< 0.1%

Your accounts : discover known accounts (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
28147 
1
 
1852

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28147
93.8%
1 1852
 
6.2%

Length

2025-08-13T19:31:55.584125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:55.618523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 28147
93.8%
1 1852
 
6.2%

Most occurring characters

ValueCountFrequency (%)
0 28147
93.8%
1 1852
 
6.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 28147
93.8%
1 1852
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 28147
93.8%
1 1852
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 28147
93.8%
1 1852
 
6.2%

Your accounts : manage the accounts list (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29642 
1
 
357

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29642
98.8%
1 357
 
1.2%

Length

2025-08-13T19:31:55.661474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:55.696909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29642
98.8%
1 357
 
1.2%

Most occurring characters

ValueCountFrequency (%)
0 29642
98.8%
1 357
 
1.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29642
98.8%
1 357
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29642
98.8%
1 357
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29642
98.8%
1 357
 
1.2%

Your accounts : read Google service configuration (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29941 
1
 
58

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29941
99.8%
1 58
 
0.2%

Length

2025-08-13T19:31:55.740061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:55.774318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29941
99.8%
1 58
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 29941
99.8%
1 58
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29941
99.8%
1 58
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29941
99.8%
1 58
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29941
99.8%
1 58
 
0.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29581 
1
 
418

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29581
98.6%
1 418
 
1.4%

Length

2025-08-13T19:31:55.817381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:55.849379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29581
98.6%
1 418
 
1.4%

Most occurring characters

ValueCountFrequency (%)
0 29581
98.6%
1 418
 
1.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29581
98.6%
1 418
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29581
98.6%
1 418
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29581
98.6%
1 418
 
1.4%

Your accounts : view configured accounts (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29860 
1
 
139

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29860
99.5%
1 139
 
0.5%

Length

2025-08-13T19:31:55.891754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:55.926236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29860
99.5%
1 139
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 29860
99.5%
1 139
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29860
99.5%
1 139
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29860
99.5%
1 139
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29860
99.5%
1 139
 
0.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29339 
1
 
660

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29339
97.8%
1 660
 
2.2%

Length

2025-08-13T19:31:55.970021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:56.004044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29339
97.8%
1 660
 
2.2%

Most occurring characters

ValueCountFrequency (%)
0 29339
97.8%
1 660
 
2.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29339
97.8%
1 660
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29339
97.8%
1 660
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29339
97.8%
1 660
 
2.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
23639 
1
6360 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 23639
78.8%
1 6360
 
21.2%

Length

2025-08-13T19:31:56.049500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:56.084532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 23639
78.8%
1 6360
 
21.2%

Most occurring characters

ValueCountFrequency (%)
0 23639
78.8%
1 6360
 
21.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 23639
78.8%
1 6360
 
21.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 23639
78.8%
1 6360
 
21.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 23639
78.8%
1 6360
 
21.2%

Your location : fine (GPS) location (D)
Categorical

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
23536 
1
6463 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 23536
78.5%
1 6463
 
21.5%

Length

2025-08-13T19:31:56.132174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:56.168009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 23536
78.5%
1 6463
 
21.5%

Most occurring characters

ValueCountFrequency (%)
0 23536
78.5%
1 6463
 
21.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 23536
78.5%
1 6463
 
21.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 23536
78.5%
1 6463
 
21.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 23536
78.5%
1 6463
 
21.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29346 
1
 
653

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29346
97.8%
1 653
 
2.2%

Length

2025-08-13T19:31:56.216678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:56.260638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29346
97.8%
1 653
 
2.2%

Most occurring characters

ValueCountFrequency (%)
0 29346
97.8%
1 653
 
2.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29346
97.8%
1 653
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29346
97.8%
1 653
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29346
97.8%
1 653
 
2.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29970 
1
 
29

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29970
99.9%
1 29
 
0.1%

Length

2025-08-13T19:31:56.309765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:56.350415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29970
99.9%
1 29
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29970
99.9%
1 29
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29970
99.9%
1 29
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29970
99.9%
1 29
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29970
99.9%
1 29
 
0.1%

Your messages : Send Gmail (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29986 
1
 
13

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29986
> 99.9%
1 13
 
< 0.1%

Length

2025-08-13T19:31:56.399953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:56.440486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29986
> 99.9%
1 13
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29986
> 99.9%
1 13
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29986
> 99.9%
1 13
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29986
> 99.9%
1 13
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29986
> 99.9%
1 13
 
< 0.1%

Your messages : edit SMS or MMS (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29550 
1
 
449

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29550
98.5%
1 449
 
1.5%

Length

2025-08-13T19:31:56.489996image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:56.534100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29550
98.5%
1 449
 
1.5%

Most occurring characters

ValueCountFrequency (%)
0 29550
98.5%
1 449
 
1.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29550
98.5%
1 449
 
1.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29550
98.5%
1 449
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29550
98.5%
1 449
 
1.5%

Your messages : modify Gmail (D)
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29988 
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29988
> 99.9%
1 11
 
< 0.1%

Length

2025-08-13T19:31:56.583826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:56.625001image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29988
> 99.9%
1 11
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29988
> 99.9%
1 11
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29988
> 99.9%
1 11
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29988
> 99.9%
1 11
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29988
> 99.9%
1 11
 
< 0.1%

Your messages : read Gmail (D)
Categorical

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29956 
1
 
43

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29956
99.9%
1 43
 
0.1%

Length

2025-08-13T19:31:56.800481image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:56.842802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29956
99.9%
1 43
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29956
99.9%
1 43
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29956
99.9%
1 43
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29956
99.9%
1 43
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29956
99.9%
1 43
 
0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:56.892701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:56.934520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Your messages : read SMS or MMS (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29288 
1
 
711

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29288
97.6%
1 711
 
2.4%

Length

2025-08-13T19:31:56.980179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:57.015046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29288
97.6%
1 711
 
2.4%

Most occurring characters

ValueCountFrequency (%)
0 29288
97.6%
1 711
 
2.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29288
97.6%
1 711
 
2.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29288
97.6%
1 711
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29288
97.6%
1 711
 
2.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29994 
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Length

2025-08-13T19:31:57.060439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:57.094842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29994
> 99.9%
1 5
 
< 0.1%

Your messages : receive MMS (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29864 
1
 
135

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29864
99.5%
1 135
 
0.5%

Length

2025-08-13T19:31:57.139277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:57.174156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29864
99.5%
1 135
 
0.5%

Most occurring characters

ValueCountFrequency (%)
0 29864
99.5%
1 135
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29864
99.5%
1 135
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29864
99.5%
1 135
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29864
99.5%
1 135
 
0.5%

Your messages : receive SMS (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29117 
1
 
882

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29117
97.1%
1 882
 
2.9%

Length

2025-08-13T19:31:57.216664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:57.252527image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29117
97.1%
1 882
 
2.9%

Most occurring characters

ValueCountFrequency (%)
0 29117
97.1%
1 882
 
2.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29117
97.1%
1 882
 
2.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29117
97.1%
1 882
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29117
97.1%
1 882
 
2.9%

Your messages : receive WAP (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29943 
1
 
56

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29943
99.8%
1 56
 
0.2%

Length

2025-08-13T19:31:57.294479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:57.329181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29943
99.8%
1 56
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 29943
99.8%
1 56
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29943
99.8%
1 56
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29943
99.8%
1 56
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29943
99.8%
1 56
 
0.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29970 
1
 
29

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29970
99.9%
1 29
 
0.1%

Length

2025-08-13T19:31:57.372564image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:57.406660image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29970
99.9%
1 29
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29970
99.9%
1 29
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29970
99.9%
1 29
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29970
99.9%
1 29
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29970
99.9%
1 29
 
0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29991 
1
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29991
> 99.9%
1 8
 
< 0.1%

Length

2025-08-13T19:31:57.449017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:57.484418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29991
> 99.9%
1 8
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29991
> 99.9%
1 8
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29991
> 99.9%
1 8
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29991
> 99.9%
1 8
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29991
> 99.9%
1 8
 
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29999
100.0%

Length

2025-08-13T19:31:57.527112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:57.566946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29999
100.0%

Most occurring characters

ValueCountFrequency (%)
0 29999
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29999
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29999
100.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29586 
1
 
413

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29586
98.6%
1 413
 
1.4%

Length

2025-08-13T19:31:57.617701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:57.656996image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29586
98.6%
1 413
 
1.4%

Most occurring characters

ValueCountFrequency (%)
0 29586
98.6%
1 413
 
1.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29586
98.6%
1 413
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29586
98.6%
1 413
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29586
98.6%
1 413
 
1.4%

Your personal information : choose widgets (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29957 
1
 
42

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29957
99.9%
1 42
 
0.1%

Length

2025-08-13T19:31:57.713648image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:57.753893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29957
99.9%
1 42
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29957
99.9%
1 42
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29957
99.9%
1 42
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29957
99.9%
1 42
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29957
99.9%
1 42
 
0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29404 
1
 
595

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29404
98.0%
1 595
 
2.0%

Length

2025-08-13T19:31:57.800586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:57.837838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29404
98.0%
1 595
 
2.0%

Most occurring characters

ValueCountFrequency (%)
0 29404
98.0%
1 595
 
2.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29404
98.0%
1 595
 
2.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29404
98.0%
1 595
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29404
98.0%
1 595
 
2.0%

Your personal information : read calendar events (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29559 
1
 
440

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29559
98.5%
1 440
 
1.5%

Length

2025-08-13T19:31:57.891208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:57.935193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29559
98.5%
1 440
 
1.5%

Most occurring characters

ValueCountFrequency (%)
0 29559
98.5%
1 440
 
1.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29559
98.5%
1 440
 
1.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29559
98.5%
1 440
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29559
98.5%
1 440
 
1.5%

Your personal information : read contact data (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
27360 
1
 
2639

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 27360
91.2%
1 2639
 
8.8%

Length

2025-08-13T19:31:57.986413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:58.042837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 27360
91.2%
1 2639
 
8.8%

Most occurring characters

ValueCountFrequency (%)
0 27360
91.2%
1 2639
 
8.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 27360
91.2%
1 2639
 
8.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 27360
91.2%
1 2639
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 27360
91.2%
1 2639
 
8.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29285 
1
 
714

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29285
97.6%
1 714
 
2.4%

Length

2025-08-13T19:31:58.122605image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:58.326739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29285
97.6%
1 714
 
2.4%

Most occurring characters

ValueCountFrequency (%)
0 29285
97.6%
1 714
 
2.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29285
97.6%
1 714
 
2.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29285
97.6%
1 714
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29285
97.6%
1 714
 
2.4%

Your personal information : read user defined dictionary (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29959 
1
 
40

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29959
99.9%
1 40
 
0.1%

Length

2025-08-13T19:31:58.470821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:58.600119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29959
99.9%
1 40
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29959
99.9%
1 40
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29959
99.9%
1 40
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29959
99.9%
1 40
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29959
99.9%
1 40
 
0.1%

Your personal information : retrieve system internal state (S)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29982 
1
 
17

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%

Length

2025-08-13T19:31:58.726964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:58.827469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29982
99.9%
1 17
 
0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29987 
1
 
12

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Length

2025-08-13T19:31:58.949722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:59.068952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29987
> 99.9%
1 12
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29502 
1
 
497

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29502
98.3%
1 497
 
1.7%

Length

2025-08-13T19:31:59.189552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:59.284557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29502
98.3%
1 497
 
1.7%

Most occurring characters

ValueCountFrequency (%)
0 29502
98.3%
1 497
 
1.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29502
98.3%
1 497
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29502
98.3%
1 497
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29502
98.3%
1 497
 
1.7%

Your personal information : write contact data (D)
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
28807 
1
 
1192

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28807
96.0%
1 1192
 
4.0%

Length

2025-08-13T19:31:59.417202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:59.512587image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 28807
96.0%
1 1192
 
4.0%

Most occurring characters

ValueCountFrequency (%)
0 28807
96.0%
1 1192
 
4.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 28807
96.0%
1 1192
 
4.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 28807
96.0%
1 1192
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 28807
96.0%
1 1192
 
4.0%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
0
29954 
1
 
45

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 29954
99.8%
1 45
 
0.2%

Length

2025-08-13T19:31:59.620360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:59.720911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 29954
99.8%
1 45
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 29954
99.8%
1 45
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 29954
99.8%
1 45
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 29954
99.8%
1 45
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 29954
99.8%
1 45
 
0.2%

Class
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.7 MiB
1
20000 
0
9999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters29999
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
1 20000
66.7%
0 9999
33.3%

Length

2025-08-13T19:31:59.846803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-08-13T19:31:59.952910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1 20000
66.7%
0 9999
33.3%

Most occurring characters

ValueCountFrequency (%)
1 20000
66.7%
0 9999
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 20000
66.7%
0 9999
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 20000
66.7%
0 9999
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 20000
66.7%
0 9999
33.3%

Interactions

2025-08-13T19:31:34.438948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:33.213358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:33.512507image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:33.872621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:34.157064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:34.492854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:33.272246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:33.577730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:33.924834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:34.211244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:34.554017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:33.333636image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:33.645862image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:33.985929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:34.270467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:34.613044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:33.392975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:33.716005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:34.041806image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:34.327928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:34.669359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:33.452147image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:33.807223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:34.099058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-08-13T19:31:34.381229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-08-13T19:32:00.509231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
CategoryClassDangerous permissions countDefault : Access DRM content. (S)Default : Access Email provider data (S)Default : Access download manager. (S)Default : Advanced download manager functions. (S)Default : Audio File Access (S)Default : Install DRM content. (S)Default : Modify Google settings (S)Default : Move application resources (S)Default : Read Google settings (S)Default : Send download notifications. (S)Default : Voice Search Shortcuts (S)Default : access SurfaceFlinger (S)Default : access checkin properties (S)Default : access the cache filesystem (S)Default : bind to a wallpaper (S)Default : bind to an input method (S)Default : change screen orientation (S)Default : control location update notifications (S)Default : control system backup and restore (S)Default : delete applications (S)Default : delete other applications' caches (S)Default : delete other applications' data (S)Default : directly call any phone numbers (S)Default : directly install applications (S)Default : disable or modify status bar (S)Default : display unauthorized windows (S)Default : enable or disable application components (S)Default : force application to close (S)Default : force device reboot (S)Default : interact with a device admin (S)Default : manage application tokens (S)Default : modify battery statistics (S)Default : modify secure system settings (S)Default : modify the Google services map (S)Default : monitor and control all application launching (S)Default : partial shutdown (S)Default : permission to install a location provider (S)Default : power device on or off (S)Default : press keys and control buttons (S)Default : prevent app switches (S)Default : read frame buffer (S)Default : read phone state and identity (S)Default : record what you type and actions you take (S)Default : set time (S)Default : update component usage statistics (S)Development tools : enable application debugging (D)Development tools : limit number of running processes (D)Development tools : make all background applications close (D)Development tools : send Linux signals to applications (D)Hardware controls : change your audio settings (D)Hardware controls : control flashlight (S)Hardware controls : control vibrator (S)Hardware controls : record audio (D)Hardware controls : take pictures and videos (D)Hardware controls : test hardware (S)Network communication : Broadcast data messages to applications. (S)Network communication : control Near Field Communication (D)Network communication : create Bluetooth connections (D)Network communication : full Internet access (D)Network communication : make/receive Internet calls (D)Network communication : receive data from Internet (S)Network communication : view Wi-Fi state (S)Network communication : view network state (S)Number of ratingsPhone calls : intercept outgoing calls (D)Phone calls : modify phone state (S)Phone calls : read phone state and identity (D)PriceRatingSafe permissions countServices that cost you money : directly call phone numbers (D)Services that cost you money : send SMS messages (D)Storage : modify/delete USB storage contents modify/delete SD card contents (D)System tools : allow Wi-Fi Multicast reception (D)System tools : automatically start at boot (S)System tools : bluetooth administration (D)System tools : change Wi-Fi state (D)System tools : change network connectivity (D)System tools : change your UI settings (D)System tools : delete all application cache data (D)System tools : disable keylock (D)System tools : display system-level alerts (D)System tools : expand/collapse status bar (S)System tools : force stop other applications (S)System tools : format external storage (D)System tools : kill background processes (S)System tools : make application always run (D)System tools : measure application storage space (S)System tools : modify global animation speed (D)System tools : modify global system settings (D)System tools : mount and unmount filesystems (D)System tools : prevent device from sleeping (D)System tools : read subscribed feeds (S)System tools : read sync settings (S)System tools : read sync statistics (S)System tools : read/write to resources owned by diag (S)System tools : reorder running applications (D)System tools : retrieve running applications (D)System tools : send package removed broadcast (S)System tools : send sticky broadcast (S)System tools : set preferred applications (S)System tools : set time zone (D)System tools : set wallpaper (S)System tools : set wallpaper size hints (S)System tools : write Access Point Name settings (D)System tools : write subscribed feeds (D)System tools : write sync settings (D)Your accounts : Google App Engine (D)Your accounts : Google Docs (D)Your accounts : Google Finance (D)Your accounts : Google Maps (D)Your accounts : Google Spreadsheets (D)Your accounts : Google Voice (D)Your accounts : Google mail (D)Your accounts : Picasa Web Albums (D)Your accounts : YouTube (D)Your accounts : YouTube usernames (D)Your accounts : access all Google services (S)Your accounts : access other Google services (D)Your accounts : act as an account authenticator (D)Your accounts : act as the AccountManagerService (S)Your accounts : contacts data in Google accounts (D)Your accounts : discover known accounts (S)Your accounts : manage the accounts list (D)Your accounts : read Google service configuration (S)Your accounts : use the authentication credentials of an account (D)Your accounts : view configured accounts (S)Your location : access extra location provider commands (S)Your location : coarse (network-based) location (D)Your location : fine (GPS) location (D)Your location : mock location sources for testing (D)Your messages : Read Email attachments (D)Your messages : Send Gmail (S)Your messages : edit SMS or MMS (D)Your messages : modify Gmail (D)Your messages : read Gmail (D)Your messages : read SMS or MMS (D)Your messages : read instant messages (D)Your messages : receive MMS (D)Your messages : receive SMS (D)Your messages : receive WAP (D)Your messages : send SMS-received broadcast (S)Your messages : send WAP-PUSH-received broadcast (S)Your personal information : add or modify calendar events and send email to guests (D)Your personal information : choose widgets (S)Your personal information : read Browser's history and bookmarks (D)Your personal information : read calendar events (D)Your personal information : read contact data (D)Your personal information : read sensitive log data (D)Your personal information : read user defined dictionary (D)Your personal information : retrieve system internal state (S)Your personal information : set alarm in alarm clock (S)Your personal information : write Browser's history and bookmarks (D)Your personal information : write contact data (D)Your personal information : write to user defined dictionary (S)
Category1.0000.4320.1500.0300.0750.0320.0170.0310.1010.0220.0080.0510.1220.0220.0390.0630.0170.0520.0190.0470.0870.0480.0240.0260.0700.1650.0360.0350.0230.0410.0310.0890.0330.0000.0710.1070.0230.0220.0220.0360.1530.0360.0240.0390.0120.0250.0000.0080.0310.0600.0490.0350.2210.1410.2290.2180.2440.0490.0000.0640.1880.3620.0720.1590.1660.2440.0640.2390.2020.2270.0370.1120.1140.3060.2290.2070.1150.2210.1540.1730.1180.0650.1210.1920.1350.0830.0430.0500.1500.0940.1420.0350.2130.1180.2600.0650.1860.1350.0800.0550.1270.0220.1590.0880.0390.2770.1060.1040.0710.1780.0490.0660.0600.0400.0660.0580.0700.0940.0850.0890.0780.0900.1690.0850.0470.1710.1790.0600.1440.0780.1860.2960.4170.2150.0990.0810.2200.0370.0800.2500.0270.1730.2550.1340.0840.0330.1200.0950.1270.1510.3390.1870.1180.0670.0370.1180.2630.105
Class0.4321.0000.0320.0170.0000.0070.0000.0000.0180.0040.0000.0000.0000.0040.0000.0000.0000.0250.0020.0000.0060.0000.0220.0000.0160.0060.0110.0000.0140.0000.0000.0160.0080.0000.0000.0110.0000.0000.0000.0000.0200.0060.0040.0120.0000.0000.0040.0000.0000.0000.0000.0040.0000.0070.0540.0040.0290.0040.0000.0000.0000.0960.0000.0000.0000.1480.0070.0000.0080.0810.0380.2930.0830.0540.0000.0360.0000.0340.0000.0160.0170.0170.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0380.0120.0300.0020.0230.0150.0000.0000.0370.0000.0300.0000.0000.0490.0000.0000.0070.0250.0000.0000.0140.0000.0000.0000.0080.0000.0060.0080.0000.0180.0220.0070.0000.0530.0240.0140.0120.0120.0460.0150.0710.0650.0120.0000.0000.0000.0120.0000.0000.0110.0000.0100.0000.0000.0250.0030.0790.0270.0170.0410.0070.0000.0000.0870.0140.000
Dangerous permissions count0.1500.0321.0000.0650.0430.0690.0000.0890.1720.0260.0830.0840.0180.0260.1790.1090.0000.0150.0960.0270.0880.1830.1060.1620.0670.1870.1180.1690.0000.0390.0660.0620.0910.0360.2120.2250.0480.0000.0430.0600.5320.0390.0740.0260.0000.0000.0490.0830.0000.1180.1110.0280.5130.1770.3640.4430.3320.1230.0230.1310.4920.2910.0790.2650.3670.3500.2720.3490.3470.537-0.2530.0720.6530.4670.3870.4670.1160.4080.2850.4590.4360.1260.2300.5390.2060.1830.0790.4650.2970.1970.3350.0340.3860.1650.4580.1460.4680.2380.0210.1940.3980.0000.4760.1620.0280.0620.0950.2610.2690.4880.0470.1200.0000.1800.1200.2160.3440.1930.0620.0650.1380.1790.3570.1680.0760.3980.4220.2230.2750.2060.4070.5290.5580.3630.0730.1130.6030.1200.0970.5550.1660.3030.6290.2400.1380.0550.2800.1790.2470.2480.6210.3550.2330.0910.0670.2370.5600.426
Default : Access DRM content. (S)0.0300.0170.0651.0000.0000.1440.1660.0000.1860.0000.0000.0000.0410.0000.0000.0000.1660.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0410.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0240.0000.0000.0200.0000.0000.0000.0000.0000.0000.0000.0000.0170.0120.0000.0000.0000.0160.0000.0140.0920.0000.0000.0140.0000.0160.0000.0000.0000.0000.0000.0290.0000.0000.0000.0000.0150.0810.0000.0000.0390.0260.0310.0000.0270.0460.0000.0000.0260.0000.0000.0000.0000.0100.0000.0000.0000.0280.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0330.0000.0000.0310.0240.0000.0220.0120.0300.0050.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0250.0000.0000.0000.0000.0000.0000.0000.0100.0150.0000.0000.0000.0000.0200.000
Default : Access Email provider data (S)0.0750.0000.0430.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0000.0000.0000.0000.0000.0050.0000.0000.0270.0180.0000.0000.0000.0170.0240.0000.0430.0000.0000.0280.0000.0030.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0070.0000.0000.0000.0000.0000.0180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0370.0000.0000.0000.0000.0000.0000.0000.0000.2630.0000.0110.1640.3150.0410.0000.0050.0030.0000.0000.0000.0000.0150.0180.0000.0290.0330.0000.0000.0000.0100.0000.000
Default : Access download manager. (S)0.0320.0070.0690.1440.0001.0000.1440.0000.0310.0000.0000.0000.1080.0000.0000.0000.1440.0000.0000.0000.0000.0000.0000.0000.0000.0340.0580.0000.0000.0000.0000.0000.0000.0000.0060.0850.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.1020.0000.0120.0050.0000.0000.0070.0070.0000.0000.0000.0160.0000.0000.0970.0000.0090.0150.0000.0120.0180.0000.0000.0080.0000.0000.0000.0470.0000.0000.0000.0000.0000.0000.0410.0220.0200.0000.0230.0390.0000.0000.0030.0000.0000.0000.0000.0000.0000.0000.0000.0240.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0280.0000.0000.0110.0360.0000.0330.0090.0000.0060.0000.0000.0000.0000.0000.0000.0000.0350.0000.0000.0310.0000.0000.0000.0000.0000.0140.0000.0130.0240.0000.0000.0000.0160.0070.000
Default : Advanced download manager functions. (S)0.0170.0000.0000.1660.0000.1441.0000.0000.1120.0000.0000.0000.1250.0000.0000.0000.5000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0630.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Default : Audio File Access (S)0.0310.0000.0890.0000.0000.0000.0001.0000.0000.0000.0000.5000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0350.0000.0200.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0040.0000.0080.3060.0190.0330.0120.0000.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0280.0000.0000.1180.1170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1150.0390.0000.0000.0000.0000.0000.0000.1580.0000.0000.0000.0000.0000.0000.0000.4560.0450.1060.2640.0970.1700.0000.0070.0070.0000.0000.5580.0510.2020.1020.0400.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0370.0000.0000.0000.3230.0000.0160.000
Default : Install DRM content. (S)0.1010.0180.1720.1860.0000.0310.1120.0001.0000.0000.0000.0000.0270.0000.0000.0000.1120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0440.0000.0270.0360.0000.0000.0000.0000.0000.0000.0000.0000.0020.0120.0860.0000.0170.0240.0000.0220.1040.0700.1150.0220.0000.0460.0000.0000.1230.0040.0000.0950.0000.0000.0000.0000.0850.1430.0000.0000.0000.0000.0390.0000.0000.0000.0000.0000.0850.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0390.0000.0000.0000.0000.0000.0000.0100.0000.0000.0000.1720.0000.0000.1360.0000.3170.1220.0000.0000.0000.0000.0510.0000.0000.0670.1100.0000.0000.0000.0000.0840.000
Default : Modify Google settings (S)0.0220.0040.0260.0000.0000.0000.0000.0000.0001.0000.0000.4740.0000.7500.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0900.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0900.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0280.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0230.0550.1390.0510.0000.0000.0090.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0420.0000.0180.0000.0000.0000.0000.0000.0000.000
Default : Move application resources (S)0.0080.0000.0830.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.5000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.0000.0000.0020.0000.0000.0000.0290.0000.0000.0000.7070.0070.0000.0000.0000.0000.0230.0150.0000.0000.0000.0170.0000.0550.1330.0000.0170.0490.0590.0000.0120.0000.0000.0000.0280.0000.0000.0000.0100.0000.0000.0510.0000.0130.0510.0000.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0220.1510.0760.0170.0000.0000.0000.0000.0000.0000.0000.0770.0190.0230.0060.0000.0000.0000.0000.0210.0120.000
Default : Read Google settings (S)0.0510.0000.0840.0000.0000.0000.0000.5000.0000.4740.0001.0000.0000.4740.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0560.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0350.0000.0060.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0040.0000.0080.1920.0380.0330.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0540.0000.0000.0000.0640.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.4560.0450.1060.2640.0970.0940.0000.0210.0210.0000.0000.3100.0510.0000.0000.0400.0000.0000.0000.0000.0000.0000.0000.0000.0250.0000.0370.0000.0000.0000.3230.0000.0000.000
Default : Send download notifications. (S)0.1220.0000.0180.0410.0000.1080.1250.0000.0270.0000.0000.0001.0000.0000.0000.0000.1250.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0230.0000.0000.0000.0000.0000.0000.0070.0000.0000.0070.0180.0000.0000.0000.0190.0000.0100.0870.0000.0000.0260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0770.0090.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0530.0000.0000.0000.0000.0000.0000.0590.0000.000
Default : Voice Search Shortcuts (S)0.0220.0040.0260.0000.0000.0000.0000.0000.0000.7500.0000.4740.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0900.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0900.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0280.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0230.0550.1390.0510.0000.0000.0090.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0420.0000.0180.0000.0000.0000.0000.0000.0000.000
Default : access SurfaceFlinger (S)0.0390.0000.1790.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0240.0000.0000.0000.0000.0000.0000.0230.0000.0620.0000.0000.0000.0000.0000.0000.0000.0000.0060.0370.0120.0000.0530.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0250.0570.0000.0000.0200.0000.0140.0000.0070.0000.0000.0120.0090.0000.0000.0000.0000.0090.0000.0130.0000.0000.0000.0140.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0200.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0150.0000.0000.0000.0000.0220.0000.0000.0090.0000.0000.0000.0250.0030.000
Default : access checkin properties (S)0.0630.0000.1090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0690.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0150.1430.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0270.0000.0000.0260.0000.0000.0000.0000.0000.0100.0000.0160.0270.0220.0000.0410.0120.0340.0000.0130.1810.0410.0190.0090.0060.0440.0000.0220.0370.0180.0000.0320.0000.0000.0000.0710.0180.0000.0000.0000.0570.0210.0120.0000.0000.0000.4490.0000.0120.0000.0780.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.3610.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0490.1050.0360.0660.0190.0110.0140.0190.0000.0000.0340.0000.0000.0250.0000.0000.0210.0000.0000.0000.0000.0000.0000.0000.0320.0800.0000.3260.0000.0000.0330.000
Default : access the cache filesystem (S)0.0170.0000.0000.1660.0000.1440.5000.0000.1120.0000.0000.0000.1250.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0630.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Default : bind to a wallpaper (S)0.0520.0250.0150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0210.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0110.0000.0000.0470.0000.0000.0120.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0280.0000.0040.0000.0000.0000.0000.0000.0310.0000.0000.0000.0000.0580.0540.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0020.0060.0000.0000.0000.0100.0000.000
Default : bind to an input method (S)0.0190.0020.0960.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0291.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0340.0000.0000.0000.0000.0000.0000.0000.0000.0000.0800.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.0110.0000.0000.0050.0110.0000.0000.0200.0220.0000.0000.0000.0760.0060.0270.0000.0000.0000.0170.0000.0000.0000.0000.0000.0210.0000.0000.0000.0110.0000.0000.0000.0140.0000.0000.0000.0000.0000.0000.0000.0020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1250.0620.0110.1860.0340.0190.0000.0000.0000.0000.0000.0130.0000.0000.0110.0650.0000.0000.0150.0060.061
Default : change screen orientation (S)0.0470.0000.0270.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0510.0000.0000.0000.0000.1930.0000.0000.0000.0000.0000.0920.0000.0000.0000.0000.0910.0000.0000.0000.0000.0000.0000.0990.0000.0390.0000.0000.0000.0000.0000.0030.0000.0000.0080.0000.0020.0000.0000.0000.0130.0000.0000.0720.0000.0000.0000.0250.0000.0000.0000.0000.0000.0000.0000.0000.0380.0000.0000.0000.0000.0000.0000.0000.0510.0410.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0020.0110.0100.0020.0000.0000.0000.0000.0000.0030.0000.0000.0000.0000.0000.0000.0160.0000.0000.0150.0000.0000.0000.0000.0000.0000.0180.000
Default : control location update notifications (S)0.0870.0060.0880.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0690.0000.0000.0000.0001.0000.0000.0600.0060.0000.0470.0190.0000.0000.0000.0000.0000.0000.0000.0230.0090.0000.0000.0000.3130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0310.0040.0220.0000.0000.0000.0100.0180.0000.0000.0300.0000.0000.0000.0000.0200.0000.0220.1130.0690.0470.0080.0000.0000.0000.0350.0000.0000.0000.0150.0000.0000.0000.0000.0100.0000.0000.0000.0080.0090.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0680.0060.0000.0150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0230.0000.0000.0000.0000.2210.0840.0940.1330.0000.0000.0110.0000.0000.0360.0000.0000.0310.0000.0290.0000.0240.0000.0000.0230.0470.0000.0000.0000.0000.0000.0240.000
Default : control system backup and restore (S)0.0480.0000.1830.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0540.0000.0140.0000.0000.0000.0000.0000.0000.0000.0000.0450.0280.0100.0000.0000.0000.0120.0000.0000.1220.0310.0520.0160.0000.0430.0000.0000.0000.0000.0000.0630.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0210.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0460.0000.0000.0000.0000.0000.0150.0000.0000.0000.0000.0970.0000.0000.0760.0000.1460.0680.0000.0000.0000.0050.0000.0000.0040.0370.0620.0000.0000.0000.0000.0580.000
Default : delete applications (S)0.0240.0220.1060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0600.0001.0000.0000.0000.0110.5830.0000.0000.0000.0000.0000.0000.0000.0070.0110.0000.0000.0000.0000.0270.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0020.0000.0000.0000.0000.0000.0000.0200.0000.0920.0140.0290.0000.0110.0030.0000.0000.0300.1660.1210.0000.0520.0000.0000.0000.0140.0100.0000.0000.0000.0000.0000.0140.0000.0420.0000.0000.0000.0080.0000.0370.0000.0000.0000.0000.0000.0230.0000.0210.0000.0750.0000.0000.0470.0000.0000.0000.0000.0000.0000.0000.0000.0420.0000.0000.0000.0000.0000.0000.0000.0000.0910.0000.0000.0150.0000.0000.0110.0560.1970.0000.0000.0140.0000.0000.0320.0000.0000.0230.0000.0330.0000.0000.0050.0020.0000.0800.0180.0000.0000.0000.0000.1100.000
Default : delete other applications' caches (S)0.0260.0000.1620.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0001.0000.0180.0000.0000.0070.0000.0000.0000.0000.0000.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0520.0000.0000.0000.0000.0000.0000.0000.0010.0000.0000.0000.0000.0120.0000.0000.0000.0050.0000.0100.0120.0080.0000.0150.0540.0000.0070.0270.0280.0000.0070.0000.0000.0000.0700.0000.0110.0000.0000.0000.0000.0000.0310.0000.0000.0000.0000.0000.0120.0230.0000.0460.0000.1110.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.0000.0000.0000.0280.0000.0000.0000.0000.0000.0000.0040.0000.0000.0180.0000.0020.0000.0000.0120.0000.0000.0070.0000.0000.0000.0000.0210.0000.0350.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0250.0000.0000.000
Default : delete other applications' data (S)0.0700.0160.0670.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0181.0000.0000.1860.0000.0000.0000.0000.5020.0000.0000.0000.0440.0300.0000.0000.0000.0010.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0650.0000.0000.0000.0000.0140.0000.0000.0000.0090.0000.0000.0120.0000.0000.0000.0000.0250.0000.0200.1890.0000.0000.0000.0000.0530.0000.0000.0000.0000.2080.0840.0000.0000.0000.0000.1160.0000.1160.0000.0720.0000.0220.0000.0160.0290.0000.0000.0770.0000.0430.0080.0000.0100.0000.0090.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0200.0000.0000.0270.0130.0000.0120.0050.0000.0300.0240.0000.0000.0000.0220.0000.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0270.0000.0100.0330.0000.0000.0000.0310.0230.000
Default : directly call any phone numbers (S)0.1650.0060.1870.0000.0000.0340.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0470.0000.0110.0000.0001.0000.0000.0700.0000.0020.0000.0000.0170.0000.0000.0110.0000.0000.0000.0000.0450.0010.0610.0000.0000.0000.0000.0000.0000.0000.0000.0000.1190.0140.0270.1030.0630.0000.0000.0000.0890.0140.0770.0160.0340.0190.0540.1770.1750.0550.0000.0170.2170.2230.0710.0300.0000.0210.0000.0290.0780.0000.0000.0920.0080.0280.0000.0000.0470.0000.0000.0000.0610.0000.0450.0000.0590.0380.0000.0000.0360.0000.0860.0000.0000.0000.0000.0190.0000.0860.0000.0000.0000.0000.0000.0000.0270.0000.0000.0000.0000.0000.0780.0000.0000.0760.0820.0000.0340.0190.0000.0490.0450.0000.0000.0000.0280.0000.0000.0470.0000.0190.0620.0000.0000.0720.0130.0000.0000.0120.1420.0430.0000.0000.0000.0000.1310.000
Default : directly install applications (S)0.0360.0110.1180.0000.0000.0580.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.5830.0000.1860.0001.0000.0000.0000.0020.0000.1880.0000.0000.0060.0190.0000.0000.0000.0000.0570.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0270.0000.0000.0080.0000.0000.0000.0000.0000.0320.0000.0670.0300.0440.0520.0160.0140.0450.0000.0560.1990.0840.0140.0780.0000.0370.0000.0160.0150.0000.0080.0470.0000.0000.0070.0000.1120.0000.0000.0220.0420.0550.0770.0000.0000.0050.0000.0000.0710.0000.0090.0000.0490.0000.0000.0750.0000.0000.0000.0000.0000.0000.0000.0000.0460.0000.0000.0000.0000.0000.0130.0000.0000.0670.0050.0000.0290.0000.0000.0000.0450.1310.0000.0000.0110.0000.0000.0310.0000.0000.0250.0000.0000.0000.0000.0000.0000.0000.0620.0140.0000.0000.0000.0000.0790.000
Default : disable or modify status bar (S)0.0350.0000.1690.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0700.0001.0000.0250.0000.0000.0120.0000.0000.0000.0000.0000.0000.0410.0000.0690.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0410.0170.0080.0180.0340.0040.0000.0000.0450.0200.0000.0140.0040.0230.0000.0000.0490.0130.0000.0130.3070.0470.0230.0250.0160.0100.0060.0170.0500.0090.0000.0540.0390.0430.0000.0000.0390.0000.0000.0000.0480.0000.0280.0070.0610.0000.0000.0000.0330.0000.0640.0150.0000.0460.0140.0170.0060.0640.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1080.0020.0000.0340.0740.0000.0000.0000.0000.0130.0330.0000.0000.0000.0000.0000.0040.0110.0000.0000.0380.0000.0000.0000.0000.0250.0000.0000.0340.0390.0000.0000.0000.0000.0260.000
Default : display unauthorized windows (S)0.0230.0140.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0251.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1580.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0070.0000.0000.0290.0000.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0630.0000.0000.0000.0030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0240.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0000.0000.0000.000
Default : enable or disable application components (S)0.0410.0000.0390.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0510.0000.0000.0000.0000.0000.0020.0020.0000.0001.0000.0000.0000.0000.0000.0180.0400.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0200.0190.0110.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0350.0000.0000.0000.0200.0490.0180.0000.0090.0000.0270.0000.0000.0000.0860.0000.0140.0000.0000.0000.0000.0040.0000.0090.0570.0480.0000.0140.0000.0000.0000.0000.0000.0030.0000.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0180.0340.0000.0310.0570.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0000.0310.0000.0000.0390.0070.0130.0000.0000.0000.0000.0000.000
Default : force application to close (S)0.0310.0000.0660.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0850.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.2040.0000.0000.0000.0000.0060.0010.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0170.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0620.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0600.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0150.0000.0000.0110.0000.0000.0090.0000.0000.0000.0160.0000.0000.0150.0000.0000.0000.0000.0000.0000.0070.000
Default : force device reboot (S)0.0890.0160.0620.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.5020.0000.1880.0120.0000.0000.0001.0000.1620.0000.0230.0070.0000.0000.0850.0000.0040.0000.0000.0000.0000.0000.0850.0000.0000.0000.0000.0000.0810.0120.0000.0000.0000.0160.0000.0000.0190.0080.0000.0000.0060.0020.0000.0000.0190.0200.0000.0000.1810.0000.0220.0000.0000.0470.0260.0160.0100.0000.0000.0940.0180.0110.0000.0000.1020.0000.0000.0000.0740.0000.0340.0000.0180.0000.0000.0000.0610.0000.0000.0100.0490.0280.0100.0400.0000.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0230.0360.0000.0000.0000.0000.0000.0000.0080.0000.0000.0240.0000.0000.0000.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0010.000
Default : interact with a device admin (S)0.0330.0080.0910.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.0000.0000.0000.0000.1621.0000.0000.0130.0000.0000.0000.0000.0000.0140.0000.0000.0000.0000.0000.1580.0000.0000.0000.0000.0000.0190.0000.0060.0000.0100.0000.0000.0330.0230.0000.0000.0160.0120.0000.0000.0090.0390.0130.0000.0080.1010.0090.0330.0120.0000.0070.0300.0200.0050.0000.0000.0030.0100.0000.0000.0000.0000.0000.0250.0000.0000.0100.0080.0000.0100.0000.0000.0000.0000.0000.0110.0000.0910.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0000.0000.0110.0090.0000.0080.0000.0000.0000.0070.0000.0000.0000.0070.0000.0000.0230.0000.0000.0200.0000.0410.0790.0000.0000.0000.0000.0080.0230.0000.0000.0000.0000.0160.000
Default : manage application tokens (S)0.0000.0000.0360.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.0000.0000.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0280.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0280.0470.0000.0000.0100.0000.0000.0000.0000.0000.0000.0000.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0340.0000.0000.0090.0250.0000.0230.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Default : modify battery statistics (S)0.0710.0000.2120.0000.0000.0060.0000.0000.0000.0000.0000.0000.0040.0000.0240.0150.0000.0000.0000.1930.0230.0000.0070.0290.0000.0000.0060.0000.0000.0180.0000.0230.0130.0001.0000.0870.0000.0190.0230.0000.1390.0000.0000.0000.0000.0000.0000.0000.0190.0000.0000.0160.1090.0000.0670.0190.0040.0000.0000.0000.0940.0250.0000.0400.1070.0430.0000.0150.1040.0610.0190.0340.2700.0530.0520.0460.0220.0720.1030.1250.0540.0360.0140.0450.0540.0050.0260.0450.0390.0000.0840.0190.0870.0240.1000.0000.0810.0100.0000.0140.0680.0000.0040.0120.0410.0000.0000.1510.0000.0880.0000.0000.0000.0000.0000.0000.0220.0000.0000.0000.0000.0000.0190.0000.0000.0650.0140.0000.0150.0000.0160.0490.0660.0220.0000.0000.0480.0000.0000.0360.0000.0640.1240.0850.0000.0090.0000.0000.0000.0000.0710.0680.0000.0000.0060.0030.0480.000
Default : modify secure system settings (S)0.1070.0110.2250.0410.0000.0850.0000.0000.0260.0900.0000.0560.0000.0900.0000.1430.0000.0000.0340.0000.0090.0000.0110.0000.0440.0110.0190.0000.0000.0400.0000.0070.0000.0000.0871.0000.0000.0230.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0380.0240.0390.0180.0120.0810.0000.0000.1320.0250.0140.0280.0850.0470.0520.0230.1300.0640.0000.0270.3710.0430.0740.0300.0090.0930.1630.1360.0850.0740.1450.0530.0690.0090.0080.0080.0910.0000.0940.0000.2800.0330.0760.0000.3220.2580.2120.0000.0950.0000.0530.0170.0000.0060.0000.1660.0000.3440.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1830.0000.0000.1290.1450.0130.1240.0000.0100.0240.0500.0060.0000.0000.0250.0370.0430.0390.0560.0800.0920.0820.0210.0000.0270.0000.0620.0300.0790.1140.0310.1540.0000.0510.0810.029
Default : modify the Google services map (S)0.0230.0000.0480.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0300.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.4720.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0300.0060.0230.0000.0000.0000.0000.0050.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0720.0000.0000.0220.0000.0000.0000.0000.0000.0000.0140.0910.0000.0000.0000.0000.0000.0000.0150.0000.0000.0000.0240.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0360.0320.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Default : monitor and control all application launching (S)0.0220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0230.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0000.0060.0090.0000.0310.0000.0000.0000.0000.0000.0070.0000.0000.0000.0220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0320.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Default : partial shutdown (S)0.0220.0000.0430.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0410.1580.0000.0000.0850.0000.0000.0230.0290.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0000.0530.0000.0000.0110.0000.0000.0000.0130.0000.0000.0000.0200.0000.0000.0000.1060.0000.0000.0010.0000.0000.0150.0350.0120.0000.0000.0000.0600.0000.0000.0000.0110.0000.0000.0000.0060.0180.0090.0000.0190.0000.0000.0000.0050.0000.0000.0000.0000.0000.0000.1200.0000.0200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.000
Default : permission to install a location provider (S)0.0360.0000.0600.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.3130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0850.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0700.0000.0000.0000.0060.0190.0170.0000.0000.0000.0000.0080.0000.0000.0000.0060.0000.0000.0000.0070.0000.0170.0650.0510.0300.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0310.0000.0000.0000.0000.0770.0300.0330.0780.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0290.0000.0000.0000.0000.0000.0490.000
Default : power device on or off (S)0.1530.0200.5320.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0210.0000.0920.0000.0000.0270.0000.0010.0450.0570.0690.0000.0000.0000.0040.0140.0000.1390.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0000.0000.3040.0000.0290.2360.0040.0000.0000.0000.2970.0290.0000.0300.1240.0590.0000.0080.0640.0900.0000.0410.3530.1490.0260.0700.0000.1410.0270.2630.2930.0000.0000.3520.0140.0000.0000.0000.0550.0000.0350.0000.0460.0260.1520.0000.0280.0000.0000.0000.1940.0000.4230.0000.0000.0000.0000.0160.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0360.0000.0000.0160.0230.0000.0050.0000.2330.0970.0910.2370.0000.0000.2930.0000.0000.2350.0000.0000.2510.0000.0000.0000.0050.0000.0000.0000.1480.0520.0000.0000.0070.0000.0430.000
Default : press keys and control buttons (S)0.0360.0060.0390.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0230.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0010.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.4720.0000.0000.0000.0001.0000.0000.0470.0000.0000.0000.0000.0550.0000.0000.0000.0000.0000.0130.0050.0100.0000.0000.0000.0000.0110.0000.0000.0210.0200.0000.0110.0130.0000.0000.0500.1160.0000.0000.0280.0000.0050.0000.0000.0000.0000.0000.0730.1030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0440.0000.0000.0000.0000.0140.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0380.0000.0450.0000.0000.0090.0000.0000.0050.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0050.0080.0350.0000.0000.0000.0000.0070.0000.000
Default : prevent app switches (S)0.0240.0040.0740.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0610.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0560.0000.0090.0000.0000.0000.0000.0000.0050.0000.0000.0000.0000.0040.0000.0400.1040.0110.0000.0000.1360.0330.0000.0100.0000.0300.0000.0000.0000.0000.0000.0650.0710.0000.0000.0000.0640.0000.0000.0000.0180.0000.0180.0000.0000.0000.0000.0000.0300.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0000.0200.0000.0000.0000.0000.0000.0000.0000.0000.0370.0000.0000.0000.0030.0000.0000.0000.0000.0000.0000.0000.0320.0450.0000.0000.0000.0000.0190.000
Default : read frame buffer (S)0.0390.0120.0260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0620.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0470.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0130.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0270.0220.0020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0090.0000.0000.0050.0000.0000.0030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Default : read phone state and identity (S)0.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Default : record what you type and actions you take (S)0.0250.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0800.0910.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0270.0000.0000.0070.0940.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Default : set time (S)0.0000.0040.0490.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0850.1580.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0000.0060.0000.0000.0000.0000.0000.0030.0000.0230.0960.0000.0080.0010.0000.0000.0150.0090.0120.0000.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0090.0000.0000.0000.0000.0000.0050.0000.0000.0000.1440.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0150.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.000
Default : update component usage statistics (S)0.0080.0000.0830.0000.0000.0000.0000.0000.0000.0000.5000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.0000.0000.0020.0000.0000.0000.0290.0000.0000.0000.7070.0070.0000.0000.0000.0000.0230.0150.0000.0000.0000.0170.0000.0550.1330.0000.0170.0490.0590.0000.0120.0000.0000.0000.0280.0000.0000.0000.0100.0000.0000.0510.0000.0130.0510.0000.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0220.1510.0760.0170.0000.0000.0000.0000.0000.0000.0000.0770.0190.0230.0060.0000.0000.0000.0000.0210.0120.000
Development tools : enable application debugging (D)0.0310.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0520.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0000.0000.0000.0000.0190.0550.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0050.0000.0000.0220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0360.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0380.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0110.0000.0000.0000.0000.0830.0000.0000.000
Development tools : limit number of running processes (D)0.0600.0000.1180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.6120.0000.0340.0000.0000.0000.0000.0000.0000.0000.0390.0000.0000.0000.0000.0000.0000.0570.0630.0030.0000.0000.0360.0190.0000.0000.0000.0000.0500.0000.0000.0000.0000.0390.0600.0000.0000.0000.0390.1050.0000.0000.0280.0000.0090.0000.0000.0000.0000.1820.0250.0000.0000.1090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0490.0000.0000.0390.0000.0000.0340.0000.0000.0000.0000.0000.0000.0000.0180.0000.0000.0000.0000.0000.0290.000
Development tools : make all background applications close (D)0.0490.0000.1110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.2040.0000.0000.0000.0000.0000.0000.0000.0000.0700.0000.0000.0000.0000.0000.0000.0000.0000.0000.6121.0000.0000.0270.0000.0000.0020.0000.0000.0000.0000.0310.0000.0000.0000.0000.0000.0000.0460.0510.0080.0000.0000.0330.0270.0050.0000.0000.0000.0400.0000.0000.0000.0000.0310.0490.0000.0000.0000.0310.0850.0000.0000.0220.0000.0150.0500.0000.0000.0000.1480.0200.0000.0000.0890.0000.0000.0000.0000.0490.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0670.0000.0000.0530.0000.0000.0470.0000.0000.0000.0120.0000.0000.0110.0260.0000.0000.0000.0000.0000.0400.000
Development tools : send Linux signals to applications (D)0.0350.0040.0280.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0090.0000.0250.0000.0000.1900.0050.0000.0000.0000.0150.0000.0000.0000.0000.0020.0000.0000.0480.0000.0000.0000.0000.0300.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0450.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0210.0000.0000.0000.0000.0000.0000.000
Hardware controls : change your audio settings (D)0.2210.0000.5130.0240.0000.0090.0000.0350.0440.0000.0000.0350.0000.0000.0060.0270.0000.0000.0000.0990.0100.0540.0000.0000.0650.1190.0270.0410.0000.0100.0000.0810.0190.0000.1090.0380.0000.0050.0000.0000.3040.0000.0560.0000.0000.0000.0000.0000.0050.0340.0270.0001.0000.0250.1720.4740.1440.0010.0000.0210.2770.0580.0410.0440.1100.0880.0650.1600.1390.1770.0000.0330.2910.1800.0950.1460.0170.1710.0670.1720.1860.0470.0260.3660.0350.0370.0000.0000.0630.0840.0000.0000.1640.0450.2160.0140.0940.0380.0000.0190.1220.0000.2930.0000.0000.0000.0060.0060.0130.1020.0000.0000.0000.0000.0000.0650.0000.0560.0000.0000.0000.0000.0920.0170.0450.1020.0960.0470.0420.0370.2500.1240.1210.1030.0000.0190.2330.0000.0020.2070.0000.0790.3570.0110.0080.0500.0040.0000.0000.0050.3110.1220.0540.0000.0300.0000.2850.050
Hardware controls : control flashlight (S)0.1410.0070.1770.0000.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0370.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0170.0000.0000.0000.0120.0000.0000.0000.0240.0000.0000.0140.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0251.0000.1660.0420.3220.1290.0140.0110.0110.0440.0000.0600.0710.0690.0620.0000.0180.0590.1210.0310.2690.0250.0000.0680.0000.1250.0220.0710.0010.0000.0470.0170.0000.0000.0000.0000.0530.0160.0000.0000.0760.0000.0900.0000.0340.0000.0000.0000.0110.0000.0090.0000.0000.0000.0070.0320.0000.0440.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0080.0000.0560.0200.0000.0390.0000.0620.0930.0980.0770.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0020.0400.0000.2040.0080.0500.0250.0350.0000.0000.1470.0470.039
Hardware controls : control vibrator (S)0.2290.0540.3640.0000.0000.0000.0000.0200.0270.0000.0000.0060.0230.0000.0120.0000.0000.0090.0120.0390.0310.0140.0020.0000.0000.0270.0000.0080.0130.0200.0000.0000.0060.0000.0670.0390.0300.0000.0000.0060.0290.0130.0090.0000.0000.0000.0000.0000.0000.0000.0000.0090.1720.1661.0000.1640.1380.0380.0000.0280.0840.1590.0080.1950.1350.2020.0940.0650.0580.2590.0370.1410.5820.1060.0850.1970.0110.3400.0680.1230.0450.0000.0310.1240.0250.0700.0000.0220.0940.0730.0140.0030.1070.0460.2730.0000.1070.0510.0040.0440.1080.0100.0180.0430.0160.0090.0440.0420.0170.0970.0080.0070.0000.0110.0070.0200.0390.0170.0130.0090.0000.0080.0830.0370.0100.1750.1040.0210.0980.0290.0970.1880.1840.0390.0110.0000.0830.0320.0190.0840.0200.0650.1440.0170.0420.0120.0960.0670.1730.0900.1970.1020.0570.0000.0140.1700.1660.063
Hardware controls : record audio (D)0.2180.0040.4430.0200.0000.0000.0000.0290.0360.0000.0000.0290.0000.0000.0000.0260.0000.0000.0000.0000.0040.0000.0000.0000.0000.1030.0080.0180.0160.0190.0060.0000.0000.0000.0190.0180.0060.0000.0000.0190.2360.0050.0000.0000.0000.0000.0000.0000.0220.0000.0020.0000.4740.0420.1641.0000.2090.0100.0000.0550.2250.0650.0340.0760.1210.0980.1140.1310.0690.1310.0000.0550.2440.1650.1030.1930.0020.1390.0570.1630.1440.0000.0000.2720.0080.0220.0000.0000.0690.0520.0060.0000.0910.0410.2100.0200.0770.0510.0000.0240.1540.0000.2150.0000.0000.0110.0090.0000.0140.0840.0000.0000.0000.0430.0000.0550.0000.0480.0000.0000.0000.0000.0940.0110.0380.0990.0960.0570.0690.0380.1590.1120.1170.0910.0000.0140.1610.0000.0000.1470.0000.0290.2490.0000.0000.0000.0010.0000.0210.0000.2300.1000.1040.0000.0330.0210.1920.084
Hardware controls : take pictures and videos (D)0.2440.0290.3320.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0530.0000.0000.0000.0000.0000.0220.0000.0000.0010.0000.0630.0000.0340.0000.0110.0010.0000.0100.0000.0040.0120.0230.0000.0000.0170.0040.0100.0000.0130.0000.0000.0000.0000.0000.0000.0000.0250.1440.3220.1380.2091.0000.0700.0010.0260.0480.0910.0000.0810.0800.0790.0610.0330.0240.0990.0550.0520.1770.1090.0660.1990.0000.0400.0260.0920.0290.0110.0000.0540.0090.0220.0000.0000.0740.0180.0000.0000.0480.0230.0950.0290.0550.0290.0000.0000.0260.0000.0180.0000.0000.0000.0000.0090.0270.0580.0160.0230.0000.0000.0230.0000.0000.0360.0000.0000.0420.0140.0630.0170.0000.0610.0480.0120.0290.0180.1310.1680.2310.0840.0030.0000.0000.0000.0000.0040.0000.0000.1080.0080.0030.0000.0180.0000.0150.0000.1510.0560.0060.0000.0000.0230.1500.007
Hardware controls : test hardware (S)0.0490.0040.1230.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0040.0000.0000.0000.0160.0000.0000.0000.0810.0000.0000.0530.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0010.1290.0380.0100.0701.0000.0000.0000.0900.0000.0000.0010.0350.0120.0000.0000.0640.0170.0000.0130.3480.0310.0080.0110.0020.0450.1150.0940.0090.0140.0030.0250.0170.1570.0000.0000.0880.0000.0040.0000.1100.0160.0220.0000.0450.0000.0000.0000.0400.0000.0000.1610.0000.0360.1450.1090.0000.0470.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0080.0000.0000.0000.0000.0000.0140.0290.0000.0000.0000.0000.0000.0000.0480.0000.0000.0520.0000.0000.0000.0000.2200.0000.0000.0320.0000.0000.0000.0000.0000.0000.000
Network communication : Broadcast data messages to applications. (S)0.0000.0000.0230.0000.0000.1020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0010.0001.0000.0000.0000.0000.0000.0280.0000.0000.0000.0000.0000.0000.0000.0000.0470.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0170.0000.0150.0000.0110.0090.0090.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0000.0150.0000.0000.0000.0000.0000.0000.0000.000
Network communication : control Near Field Communication (D)0.0640.0000.1310.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0330.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1900.0210.0110.0280.0550.0260.0000.0001.0000.0730.0130.0000.0470.0620.0230.3730.0000.0000.0240.0000.0190.0930.0120.0000.0360.0900.0490.0500.0800.0360.0000.0000.0610.0440.0000.2230.0000.0430.0000.0040.0000.0240.1120.0360.0000.0000.0000.0000.0000.0370.0000.0000.0000.0000.0000.0000.0030.0000.0000.0000.0000.0000.2520.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0610.0650.1080.0970.0690.0000.0300.0300.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0420.0830.0000.0000.0000.0000.0300.000
Network communication : create Bluetooth connections (D)0.1880.0000.4920.0000.0000.0120.0000.0000.0000.0000.0170.0000.0000.0000.0000.0000.0000.0000.0110.0030.0100.0000.0000.0000.0000.0890.0000.0450.0000.0000.0000.0190.0230.0000.0940.1320.0000.0000.0110.0000.2970.0000.0050.0000.0000.0080.0110.0170.0000.0390.0310.0050.2770.0110.0840.2250.0480.0900.0000.0731.0000.0300.0480.0260.1950.0700.0260.0910.1280.1090.0000.0430.3190.1330.0620.1000.0480.1560.7850.3370.2390.0210.1070.2710.0790.1520.0840.0110.1480.0610.1140.0080.1930.0520.1850.0110.2060.0610.0000.0240.1760.0000.2480.0610.0000.0170.0760.1210.0000.2180.0000.0470.0000.0370.0470.0000.0000.0000.0000.0000.0000.0000.1040.0160.0000.1080.1070.0250.0660.0090.1670.0710.0980.1440.0000.0000.2090.0000.0140.2230.0030.0410.2430.0470.0010.0000.0080.1100.0370.0200.1830.1020.0270.0000.0000.0220.0820.025
Network communication : full Internet access (D)0.3620.0960.2910.0000.0050.0050.0000.0000.0000.0000.0000.0000.0070.0000.0000.0100.0000.0000.0000.0000.0180.0000.0200.0120.0090.0140.0320.0200.0000.0000.0000.0080.0000.0000.0250.0250.0050.0000.0000.0080.0290.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0580.0440.1590.0650.0910.0000.0000.0130.0301.0000.0000.0990.1730.5270.0350.0300.0270.3240.0080.1910.3040.1160.0560.2590.0220.1200.0150.0590.0590.0000.0190.0320.0300.0010.0000.0060.0600.0140.0160.0000.0480.0340.1310.0130.0430.0260.0000.0140.0910.0000.0420.0160.0000.0570.0070.0100.0140.0410.0000.0050.0000.0040.0050.0000.0080.0000.0030.0000.0000.0160.0390.0180.0000.1160.0500.0190.0540.0270.0680.2400.2260.0690.0090.0050.0290.0000.0000.0390.0000.0120.0500.0190.0090.0000.0420.0000.0620.0270.0940.0660.0130.0080.0000.0600.0820.000
Network communication : make/receive Internet calls (D)0.0720.0000.0790.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0770.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0410.0000.0080.0340.0000.0000.0000.0000.0480.0001.0000.0000.0150.0000.0000.1340.0080.0170.0000.0070.0600.0470.0000.0000.0000.0430.0040.0000.0000.0000.0000.0330.0000.0000.0000.0000.0000.0000.0000.0000.0340.0000.0100.0000.0080.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0000.0060.0000.0050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0330.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0450.0330.0000.0000.0000.0000.0360.000
Network communication : receive data from Internet (S)0.1590.0000.2650.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0000.0050.0080.0000.0450.0920.0000.0000.0160.0670.0140.0000.0000.0000.0000.0160.0120.0400.0280.0000.0000.0000.0000.0300.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0440.0600.1950.0760.0810.0010.0280.0470.0260.0990.0001.0000.0720.1500.1010.0220.0000.1650.0000.0510.3960.0480.0490.1440.0000.1460.0000.0490.0490.0040.0360.0790.0000.0070.0000.0530.0250.0070.0000.0000.0190.0000.2650.0460.1330.0840.0000.0000.0870.0000.0290.0050.0000.0130.0050.0070.0840.1300.0000.0000.0000.0430.0000.0550.0000.0480.0000.0000.0000.0010.1030.0440.0000.2150.1510.0720.2130.0330.0400.1260.1130.0480.0000.0470.0580.0070.0000.0430.0160.0310.0970.0000.0440.0000.0400.0000.0030.0260.1410.0490.0310.0000.0000.0000.1110.062
Network communication : view Wi-Fi state (S)0.1660.0000.3670.0170.0270.0070.0000.0000.0020.0000.0020.0000.0070.0000.0000.0270.0000.0070.0110.0000.0300.0280.0140.0000.0120.0340.0300.0040.0000.0030.0000.0060.0120.0000.1070.0850.0000.0000.0130.0000.1240.0210.0000.0000.0000.0090.0000.0020.0000.0000.0000.0150.1100.0710.1350.1210.0800.0350.0000.0620.1950.1730.0150.0721.0000.2110.0700.0430.0510.3190.0620.0700.5010.1210.0520.2840.1150.1500.1180.4230.2550.0130.0620.1490.0470.0520.0330.0420.1550.0410.0630.0000.1650.0670.2270.0230.1150.0580.0000.0330.1780.0000.0960.0790.0100.0470.0150.0970.0330.1090.0150.0000.0000.0190.0000.0280.0000.0000.0320.0340.0000.0000.0720.0560.0000.1340.0850.0460.0790.0260.0870.1400.1680.1250.0350.0260.1060.0190.0180.1060.0010.0450.1220.0230.0250.0190.0360.0450.0950.0230.1680.1390.0110.0050.0170.0750.0980.032
Network communication : view network state (S)0.2440.1480.3500.0120.0180.0070.0000.0060.0120.0000.0000.0060.0180.0000.0000.0220.0000.0000.0000.0020.0000.0100.0290.0050.0000.0190.0440.0230.0060.0000.0000.0020.0000.0000.0430.0470.0070.0000.0000.0060.0590.0200.0040.0040.0000.0000.0000.0000.0000.0000.0000.0000.0880.0690.2020.0980.0790.0120.0000.0230.0700.5270.0000.1500.2111.0000.0650.0050.0080.3780.0220.2050.5290.0840.0250.3000.0320.1980.0410.1130.1190.0190.0360.0600.0240.0120.0050.0130.0930.0150.0370.0000.0830.0590.2020.0270.0750.0500.0070.0150.1390.0000.0570.0370.0000.1020.0000.0340.0280.0720.0100.0150.0000.0140.0150.0060.0160.0040.0130.0120.0060.0320.0600.0290.0080.1810.0700.0340.0690.0440.0790.2170.2050.0680.0190.0160.0590.0050.0090.0420.0000.0390.0860.0360.0120.0060.0630.0060.1060.0500.1190.1030.0000.0120.0110.1020.0930.011
Number of ratings0.0640.0070.2720.0000.0000.0000.0000.0000.0860.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0540.0520.0000.0000.0000.0000.0000.0000.0000.0000.0520.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0650.0620.0940.1140.0610.0000.0000.3730.0260.0350.0000.1010.0700.0651.0000.0000.0170.073-0.3840.3440.3150.0580.0660.0690.0000.0680.0350.0920.0310.0000.0490.0950.0000.0390.0000.0000.0920.0830.0000.0000.0550.0000.0780.0000.1550.0940.0000.0000.1010.0000.0740.0950.0000.0360.0350.0000.0000.1610.0000.0000.0000.7380.0000.0000.0000.0000.1260.1330.0000.0000.1660.0000.0000.1060.2010.3250.1420.2450.0000.0570.0430.0000.0000.0000.0960.0450.0170.0750.0000.0290.0700.0000.0000.0000.0560.0580.0450.0230.0880.0870.0730.0000.0000.0400.1070.068
Phone calls : intercept outgoing calls (D)0.2390.0000.3490.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0410.0000.0000.0200.0000.0000.0000.0110.0100.0000.1770.0160.0000.0000.0350.0000.0000.0090.0000.0150.0230.0000.0000.0000.0000.0080.0110.0400.0000.0000.0000.0000.0000.0000.0570.0460.0000.1600.0000.0650.1310.0330.0000.0000.0000.0910.0300.1340.0220.0430.0050.0001.0000.5200.1290.0000.0220.2100.2650.2510.0190.0080.1370.0200.0850.0490.0200.0150.1540.3000.0000.0000.0340.0700.0290.0440.0000.1160.0020.0870.0000.0660.0270.0000.1430.0740.0000.0240.0060.0000.0160.0000.0980.0000.0820.0000.0000.0000.0000.0000.1100.1860.0000.0000.0000.0000.2580.0700.0000.0000.1260.0720.0270.0560.1730.0040.0000.0130.0100.0000.0000.1880.0220.0250.3130.0350.0950.1730.0730.0530.0470.0000.0000.0200.0040.2880.1180.0070.0000.0000.0110.3380.006
Phone calls : modify phone state (S)0.2020.0080.3470.0000.0000.0000.0000.0000.0170.0000.0290.0000.0000.0000.0000.0120.0000.0000.0220.0000.0000.0000.0030.0120.0000.1750.0140.0490.0000.0000.0000.0190.0390.0000.1040.1300.0000.0000.0200.0000.0640.0130.1040.0000.0000.0000.0000.0290.0000.0630.0510.0000.1390.0180.0580.0690.0240.0640.0000.0000.1280.0270.0080.0000.0510.0080.0170.5201.0000.1170.0000.0490.3000.2660.2890.0240.0100.1020.1000.1040.1110.0340.0250.1270.3510.0240.0010.0010.1210.0330.1000.0150.1550.0140.0670.0000.1340.0190.0000.1360.0920.0000.0690.0660.0000.0180.0150.2510.0000.1580.0000.0000.0000.0000.0000.0000.1890.0000.0000.0000.0000.0000.0780.0000.0000.0930.0710.0000.0490.0020.0090.0080.0200.0220.0000.0000.1730.0430.0370.3340.0660.1730.1840.1370.0470.0510.0060.0190.0320.0180.2530.1300.0190.0000.0000.0260.3230.018
Phone calls : read phone state and identity (D)0.2270.0810.5370.0160.0170.0160.0000.0040.0240.0000.0000.0040.0190.0000.0160.0340.0000.0110.0000.0130.0200.0120.0000.0080.0250.0550.0450.0130.0070.0000.0030.0200.0130.0000.0610.0640.0000.0000.0000.0070.0900.0000.0110.0000.0000.0000.0030.0000.0000.0030.0080.0020.1770.0590.2590.1310.0990.0170.0000.0240.1090.3240.0170.1650.3190.3780.0730.1290.1171.0000.0320.1310.4240.1490.1390.3220.0260.2750.0600.1520.1290.0060.0390.1350.0600.0280.0160.0260.1240.0390.0200.0000.1160.0650.2590.0130.0760.0500.0160.0280.2280.0000.0880.0270.0020.0200.0000.0440.0150.0790.0000.0040.0040.0220.0040.0130.0240.0110.0170.0160.0040.0300.0700.0280.0060.1950.0700.0210.0620.0480.1130.2540.2200.0490.0210.0070.1230.0000.0100.1530.0130.0790.1800.0550.0320.0030.0660.0150.1350.0570.2360.1460.0090.0230.0090.1460.1750.022
Price0.0370.038-0.2530.0000.0240.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1210.0370.0000.0550.0000.0000.0000.0000.0080.0000.0000.0620.022-0.3840.0000.0000.0321.000-0.168-0.2690.0510.0770.0350.0000.0000.0000.0890.0000.0160.0000.1060.0000.0000.0000.0000.0990.0350.0000.0000.0780.0000.0480.0000.0000.0000.0000.0000.0660.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0320.0000.0000.0000.0000.0000.0000.1080.0300.0400.1120.0000.0000.1150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0780.0990.0000.0000.0000.0000.0000.000
Rating0.1120.2930.0720.0140.0000.0000.0160.0080.0220.0000.0000.0080.0100.0000.0250.0130.0160.0000.0000.0000.0220.0000.0300.0150.0200.0170.0560.0130.0000.0200.0000.0000.0080.0000.0340.0270.0000.0000.0000.0170.0410.0500.0000.0000.0000.0000.0230.0000.0000.0000.0000.0000.0330.0310.1410.0550.0520.0130.0000.0190.0430.1910.0070.0510.0700.2050.3440.0220.0490.131-0.1681.0000.1240.0360.0360.1210.0340.0600.0460.0540.0530.0470.0400.0400.0660.0030.0170.0160.0560.0260.0450.0000.0710.0140.0940.0210.0550.0310.0000.0290.0680.0090.0410.0300.0090.0530.0250.0210.0240.0490.0000.0160.0000.0230.0160.0080.0190.0000.0160.0110.0080.0690.0410.0280.0120.0860.0540.0310.0560.0440.0450.0830.0520.0380.0260.0120.0410.0000.0200.0510.0000.0370.0350.0260.0260.0100.0370.0100.0450.0350.0760.0590.0200.0090.0000.0350.0560.027
Safe permissions count0.1140.0830.6530.0920.0430.0970.0630.3060.1040.0900.7070.1920.0870.0900.0570.1810.0630.0470.0760.0720.1130.1220.1660.0540.1890.2170.1990.3070.0290.0490.0170.1810.1010.0290.2700.3710.0720.0130.1060.0650.3530.1160.1360.0270.0000.0270.0960.7070.0360.0360.0330.0480.2910.2690.5820.2440.1770.3480.0470.0930.3190.3040.0600.3960.5010.5290.3150.2100.3000.424-0.2690.1241.0000.2580.2040.3690.0680.5380.2440.3780.2770.0680.2250.3310.1470.3250.2100.2960.4000.1690.2580.0760.3460.1470.4110.3830.5950.4140.1720.1100.3300.0390.2820.2910.0750.2530.2770.2550.5140.5740.0620.1980.0200.1230.1980.2980.1800.2740.0950.0890.2980.1710.4350.2350.1720.5060.4810.3570.3390.2280.2650.2810.3020.2380.1190.4570.3090.2730.1480.3180.1250.1820.3670.0990.1270.0650.1310.3490.2330.1240.3990.2780.1430.2200.1240.2140.3430.256
Services that cost you money : directly call phone numbers (D)0.3060.0540.4670.0000.0000.0000.0000.0190.0700.0190.0070.0380.0000.0190.0000.0410.0000.0000.0060.0000.0690.0310.1210.0000.0000.2230.0840.0470.0000.0180.0000.0000.0090.0000.0530.0430.0000.0000.0000.0510.1490.0000.0330.0220.0000.0000.0000.0070.0000.0190.0270.0000.1800.0250.1060.1650.1090.0310.0000.0120.1330.1160.0470.0480.1210.0840.0580.2650.2660.1490.0510.0360.2581.0000.2420.1170.0000.1460.0320.1410.1440.0080.0000.1820.1050.0840.0120.0050.1110.0920.0040.0000.0860.0000.0920.0000.0620.0420.0000.0570.1390.0000.1270.0710.0000.0090.0660.0530.0000.0660.0000.0000.0000.0290.0000.0380.0600.0000.0000.0000.0000.0030.0630.0460.0250.0950.0760.0320.0440.0170.1260.2070.3170.2010.0040.0060.2230.0220.0120.2540.0190.1030.2200.0220.0390.0130.1610.1240.0150.1680.3340.0940.0130.0000.0270.0000.2900.011
Services that cost you money : send SMS messages (D)0.2290.0000.3870.0000.0000.0090.0000.0330.1150.0000.0000.0330.0000.0000.0000.0190.0000.0000.0270.0000.0470.0520.0000.0070.0000.0710.0140.0230.0000.0000.0080.0220.0330.0000.0520.0740.0000.0000.0000.0300.0260.0000.0000.0020.0000.0000.0080.0000.0000.0000.0050.0000.0950.0000.0850.1030.0660.0080.0000.0000.0620.0560.0000.0490.0520.0250.0660.2510.2890.1390.0770.0360.2040.2421.0000.0600.0120.1060.0390.0740.0870.0070.0000.1190.1450.0080.0000.0070.1160.0220.0190.0000.0800.0000.0900.0060.0820.0510.0000.0050.0650.0000.0180.0240.0000.0000.0000.0910.0000.0800.0000.0000.0000.0000.0000.0630.0520.0000.0000.0000.0000.0540.0810.0510.0300.1150.0820.0230.0660.0460.0530.0510.0770.0420.0000.0270.3910.0100.0090.4510.0180.2290.4450.0940.1480.0250.0250.0090.0000.0320.3800.0860.0310.0000.0570.0000.2470.029
Storage : modify/delete USB storage contents modify/delete SD card contents (D)0.2070.0360.4670.0140.0280.0150.0000.0120.0220.0000.0000.0000.0260.0000.0200.0090.0000.0120.0000.0000.0080.0160.0520.0270.0000.0300.0780.0250.0000.0090.0000.0000.0120.0000.0460.0300.0220.0000.0010.0120.0700.0280.0100.0000.0000.0070.0010.0000.0000.0000.0000.0000.1460.0680.1970.1930.1990.0110.0000.0360.1000.2590.0000.1440.2840.3000.0690.0190.0240.3220.0350.1210.3690.1170.0601.0000.0290.1620.0560.1150.1010.0430.0290.1120.0220.0430.0180.0000.1090.0500.0320.0000.1560.1060.2620.0280.0870.0640.0060.0360.1420.0080.0740.0490.0000.1110.0330.0380.0190.0840.0160.0010.0050.0000.0010.0120.0280.0100.0160.0140.0120.0000.0840.0420.0000.1870.0920.0410.0900.0330.1010.1700.1750.0960.0320.0230.0740.0210.0330.0610.0120.0480.1110.0350.0280.0080.0780.0300.0270.0770.1770.1360.0190.0000.0000.0050.1450.010
System tools : allow Wi-Fi Multicast reception (D)0.1150.0000.1160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0250.0000.0000.0000.0280.0000.0000.0000.0160.0000.0000.0000.0000.0000.0000.0220.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0940.0000.0000.0000.0000.0000.0000.0170.0000.0110.0020.0000.0020.0000.0900.0480.0220.0000.0000.1150.0320.0000.0080.0100.0260.0000.0340.0680.0000.0120.0291.0000.0000.0330.0560.0590.0000.0150.0230.0860.0000.0000.0000.0180.0000.0160.0000.0400.0530.0330.0000.0000.0110.0000.0260.0260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0140.0000.0100.0000.0000.0000.0000.0000.0040.0000.0000.0420.0000.0000.0550.0000.0010.0150.0170.0000.0000.0000.0000.0000.0000.0020.0000.0190.0000.0190.0060.0000.0000.0000.0000.0000.0100.0260.0000.0000.0000.0000.0000.000
System tools : automatically start at boot (S)0.2210.0340.4080.0160.0030.0120.0060.0070.0460.0000.0000.0000.0000.0000.0140.0440.0060.0090.0000.0000.0000.0430.0000.0000.0530.0210.0370.0100.0070.0270.0000.0470.0070.0000.0720.0930.0000.0000.0000.0000.1410.0050.0300.0000.0000.0000.0000.0000.0000.0000.0000.0300.1710.1250.3400.1390.0400.0450.0000.0490.1560.1200.0430.1460.1500.1980.0680.1370.1020.2750.0000.0600.5380.1460.1060.1620.0001.0000.0670.1820.1450.0090.0690.2130.0520.0430.0000.0590.1240.0580.0700.0000.1350.0560.2430.0000.1400.0590.0430.0440.1650.0230.1330.0580.0050.0220.0180.0710.0240.1270.0120.0120.0170.0500.0120.0350.0310.0000.0080.0090.0000.0960.0970.0240.0000.1670.1230.0440.0990.0890.0810.2030.2190.0870.0460.0000.2080.0200.0280.2060.0350.0840.2210.0240.0720.0110.1290.0220.2940.1270.1880.1330.0230.0570.0050.3170.1220.044
System tools : bluetooth administration (D)0.1540.0000.2850.0000.0000.0180.0000.0000.0000.0000.0230.0000.0000.0000.0000.0000.0000.0000.0170.0000.0000.0000.0000.0070.0000.0000.0000.0060.0000.0000.0000.0260.0300.0000.1030.1630.0000.0000.0150.0000.0270.0000.0000.0000.0000.0110.0150.0230.0000.0500.0400.0090.0670.0220.0680.0570.0260.1150.0000.0500.7850.0150.0040.0000.1180.0410.0350.0200.1000.0600.0000.0460.2440.0320.0390.0560.0330.0671.0000.2170.0830.0310.1320.0540.0640.1900.1070.0000.1640.0810.1470.0110.1710.0480.1150.0160.1970.0360.0000.0330.0780.0000.0050.0900.0000.0190.1000.1660.0000.2070.0000.0600.0000.0480.0600.0000.0000.0000.0000.0000.0000.0000.0450.0240.0000.0850.0800.0350.0530.0130.0490.0340.0630.0140.0000.0000.0500.0000.0130.0960.0000.0440.0980.0620.0000.0030.0060.1410.0570.0250.0830.0530.0370.0000.0000.0370.0380.034
System tools : change Wi-Fi state (D)0.1730.0160.4590.0000.0000.0000.0000.0000.0000.0000.0150.0000.0000.0000.0070.0220.0000.0000.0000.0000.0350.0000.0140.0000.0000.0290.0160.0170.0000.0000.0000.0160.0200.0000.1250.1360.0000.0060.0350.0000.2630.0000.0000.0000.0000.0000.0090.0150.0000.0000.0000.0000.1720.0710.1230.1630.0920.0940.0000.0800.3370.0590.0000.0490.4230.1130.0920.0850.1040.1520.0890.0540.3780.1410.0740.1150.0560.1820.2171.0000.4230.0380.0940.2390.0410.0620.0740.0830.1840.0420.1090.0060.2020.0530.2100.0080.1780.0560.0000.0140.1960.0000.1990.0880.0000.0040.0620.2080.0380.1750.0000.0000.0000.0530.0000.0000.0150.0000.0000.0000.0000.0000.0610.0370.0000.0910.0710.0160.0490.0040.1400.0980.1300.1340.0160.0000.1940.0000.0030.2050.0000.0550.2170.0770.0360.0000.0360.1020.0780.0170.1950.1230.0000.0000.0510.0310.1120.031
System tools : change network connectivity (D)0.1180.0170.4360.0000.0000.0000.0000.0000.1230.0000.0000.0000.0000.0000.0000.0370.0000.0000.0000.0000.0000.0000.0100.0000.0000.0780.0150.0500.0000.0000.0000.0100.0050.0000.0540.0850.0000.0090.0120.0000.2930.0000.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.1860.0010.0450.1440.0290.0090.0000.0360.2390.0590.0000.0490.2550.1190.0310.0490.1110.1290.0000.0530.2770.1440.0870.1010.0590.1450.0830.4231.0000.0210.0320.2110.0230.0000.0700.0130.0980.0430.0760.0090.0950.0460.1680.0210.1060.0000.0000.0000.1780.0000.2420.0420.0030.0020.0000.1760.0000.1130.0000.0000.0000.0000.0000.0000.0210.0000.0970.1020.0000.0000.0570.0130.0000.0520.0790.0350.0360.0240.1470.0560.0720.1610.0000.0000.2450.0000.0000.2130.0000.1620.2270.0810.0380.0490.0050.0230.0040.0000.1540.1150.0000.0000.0270.0000.0760.000
System tools : change your UI settings (D)0.0650.0170.1260.0000.0000.0080.0000.0000.0040.0000.0000.0000.0000.0000.0000.0180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0860.0000.0000.0000.0000.0360.0740.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0470.0000.0000.0000.0110.0140.0000.0000.0210.0000.0000.0040.0130.0190.0000.0200.0340.0060.0160.0470.0680.0080.0070.0430.0000.0090.0310.0380.0211.0000.0370.0000.0170.0000.0000.0000.0360.0000.0680.1150.1160.0160.0400.0000.0560.0130.0000.0000.0000.0000.0000.0000.0140.0250.0000.0370.0000.0590.0000.0000.0000.0000.0000.0000.0450.0000.0000.0000.0000.0000.0180.0000.0000.0050.0100.0000.0120.0000.0110.0000.0000.0000.0000.0080.0190.0000.0000.0100.0000.0000.0180.0000.0000.0000.0000.0000.0240.0000.0200.0060.0000.0060.0000.0170.0310.000
System tools : delete all application cache data (D)0.1210.0000.2300.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.0000.0000.0000.0700.2080.0000.0080.0000.0000.0000.0000.0000.0000.0000.0140.1450.0140.0310.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0260.0470.0310.0000.0000.0030.0000.0000.1070.0190.0000.0360.0620.0360.0490.0150.0250.0390.0000.0400.2250.0000.0000.0290.0150.0690.1320.0940.0320.0371.0000.0190.0630.0000.0000.0000.1610.1140.5030.0000.0960.0000.0440.0000.1910.0110.0000.0460.0510.0000.0110.0130.0000.0060.0000.0290.0000.2040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0420.0270.0000.0000.0000.0000.0070.0000.0050.0000.0000.0870.0000.0000.0710.0000.0200.0310.0350.0000.0000.0240.0000.1630.0000.0400.0920.0960.0000.0000.1790.0680.090
System tools : disable keylock (D)0.1920.0000.5390.0290.0000.0000.0000.0000.0950.0000.0170.0000.0000.0000.0090.0320.0000.0000.0000.0000.0150.0630.0000.0000.0840.0920.0470.0540.0000.0140.0000.0940.0030.0000.0450.0530.0910.0000.0000.0000.3520.0730.0650.0000.0000.0000.0110.0170.0000.0390.0310.0000.3660.0170.1240.2720.0540.0250.0000.0610.2710.0320.0330.0790.1490.0600.0950.1540.1270.1350.1060.0400.3310.1820.1190.1120.0230.2130.0540.2390.2110.0000.0191.0000.0790.0450.0000.0730.0950.0990.0000.0000.2230.0320.2700.0000.1280.0360.0000.0700.1900.0000.2730.0800.0000.0000.0120.0510.0440.1340.0000.0000.0000.0600.0000.0750.0000.0000.0000.0000.0000.0000.0930.0430.0000.1280.1250.0610.0810.0360.1690.0870.0770.1460.0000.0000.3090.0130.0200.2710.0030.1770.3020.1290.0560.0170.0140.0320.0180.0050.2440.1580.0640.0000.0000.0180.1900.111
System tools : display system-level alerts (D)0.1350.0110.2060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0210.0000.0000.0000.0000.0110.0000.0080.0000.0390.0630.0000.0000.0180.0100.0280.0540.0690.0000.0000.0600.0000.0140.1030.0710.0000.0000.0000.0000.0000.0000.0600.0490.0000.0350.0000.0250.0080.0090.0170.0000.0440.0790.0300.0000.0000.0470.0240.0000.3000.3510.0600.0000.0660.1470.1050.1450.0220.0860.0520.0640.0410.0230.0170.0630.0791.0000.0560.0000.0000.0530.0420.0740.0000.1340.0460.0540.0630.0770.0620.0000.1300.0900.0000.0160.0390.0090.0100.0000.1290.0610.0690.0000.0000.0000.0000.0000.0000.1130.0000.0000.0000.0000.0000.0500.0620.0000.0620.0300.0450.0600.0000.0000.0110.0130.0030.0000.1180.0440.0240.0350.1870.0630.0800.0520.0690.0230.0000.0000.0000.0000.0000.1080.1170.0080.0000.0030.0000.1440.007
System tools : expand/collapse status bar (S)0.0830.0000.1830.0000.0090.0470.0000.0000.0000.0000.0550.0000.0000.0000.0000.0000.0000.0000.0000.0380.0000.0000.0000.0000.0000.0280.0000.0430.0000.0000.0000.0110.0000.0000.0050.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0550.0000.0000.0000.0000.0370.0000.0700.0220.0220.1570.0000.0000.1520.0010.0000.0070.0520.0120.0390.0000.0240.0280.0000.0030.3250.0840.0080.0430.0000.0430.1900.0620.0000.0000.0000.0450.0561.0000.0430.0000.1080.1900.0160.0000.1330.0670.0250.0060.1420.0110.0000.0460.1180.0000.0180.2560.0000.1200.3910.0150.0000.1200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1240.0000.0000.0570.0920.0000.0000.0090.0150.0280.0240.0150.0000.0000.0270.0830.0570.0950.0000.0000.0990.0000.0000.0000.0000.5560.0170.0110.1140.0180.0000.0000.0140.0010.0660.002
System tools : force stop other applications (S)0.0430.0000.0790.0000.0000.0000.0000.0000.0000.0000.1330.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.0260.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1330.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.2230.0840.0000.0000.0000.0330.0050.0000.0000.0010.0160.0000.0170.2100.0120.0000.0180.0000.0000.1070.0740.0700.0000.0000.0000.0000.0431.0000.0000.1240.0110.0140.0000.0130.0960.0170.0000.0210.0000.0000.0000.0750.0000.0000.0110.0000.0050.0400.0000.0000.0220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0150.0390.0190.0210.0000.0000.0000.0000.0230.0000.0000.0610.0120.0000.0000.0620.0000.0000.0000.0000.0000.000
System tools : format external storage (D)0.0500.0000.4650.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0710.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0450.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0220.0000.0000.0000.0000.0000.0110.0060.0000.0530.0420.0130.0000.0340.0010.0260.0000.0160.2960.0050.0070.0000.0000.0590.0000.0830.0130.0000.0000.0730.0000.0000.0001.0000.0930.0000.0140.0000.0900.1860.0000.0000.1160.0000.0000.0000.0750.0000.0000.0000.0000.0000.0000.0130.3430.1200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.0160.0000.0490.1180.0000.0000.0000.0000.0240.0240.0000.0000.0000.1180.0000.0000.0930.0000.0000.0830.0000.0000.0000.1360.0000.1020.0160.0610.0930.0000.0000.0000.1120.0780.298
System tools : kill background processes (S)0.1500.0000.2970.0150.0000.0000.0000.0000.0850.0000.0170.0000.0770.0000.0090.0180.0000.0000.0110.0000.0100.0000.0420.0000.1160.0470.1120.0390.0030.0040.0000.1020.0000.0000.0390.0910.0000.0070.0110.0000.0550.0000.0640.0000.0000.0000.0000.0170.0000.0390.0310.0450.0630.0530.0940.0690.0740.0880.0000.0430.1480.0600.0000.0250.1550.0930.0920.0700.1210.1240.0990.0560.4000.1110.1160.1090.0180.1240.1640.1840.0980.0360.1610.0950.0530.1080.1240.0931.0000.1470.1990.0000.1650.0580.1230.0000.1400.0000.0000.0500.2420.0000.0290.0910.0000.0610.1140.1190.0430.1480.0000.0000.0000.0000.0000.0000.0630.0000.0000.0000.0000.0000.0630.0470.0000.0900.0770.0000.0190.0090.0070.0340.0560.0420.0000.0000.1210.0480.0310.1180.0230.0700.1120.0200.0340.0000.0610.1850.1010.0250.1160.1650.0390.0000.0000.0800.1090.082
System tools : make application always run (D)0.0940.0000.1970.0810.0070.0000.0000.0000.1430.0000.0490.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0490.0000.1050.0850.0000.0840.0160.0730.0520.0180.0000.0000.0000.0610.0140.0000.0070.0410.0150.0830.0290.0330.0390.0350.0260.1690.0920.0220.0500.0000.0580.0810.0420.0430.0000.1140.0990.0420.1900.0110.0000.1471.0000.0620.0000.0960.0120.0560.0000.0790.0000.0000.0400.0630.0000.0000.1040.0000.0470.1950.0000.0000.0820.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0330.1120.0000.0570.0540.0000.0000.0060.0240.0170.0240.0070.0000.0000.0890.0730.0350.0900.0000.0600.0690.0000.0000.0000.0640.2960.0760.0710.1120.0490.0840.0000.0000.0350.1240.079
System tools : measure application storage space (S)0.1420.0000.3350.0000.0000.0000.0000.0000.0000.0000.0590.0000.0000.0000.0130.0000.0000.0000.0000.0000.0000.0000.0000.0310.1160.0000.0000.0000.0000.0090.0000.0000.0250.0000.0840.0940.0150.0000.0000.0000.0350.0000.0000.0000.0000.0000.0000.0590.0000.0000.0000.0000.0000.0000.0140.0060.0000.0040.0000.0040.1140.0160.0000.0000.0630.0370.0000.0440.1000.0200.0000.0450.2580.0040.0190.0320.0160.0700.1470.1090.0760.0680.5030.0000.0740.0160.0140.0140.1990.0621.0000.0000.0900.0100.0240.0070.1610.0250.0000.0490.0620.0230.0000.0150.0000.0000.0150.0720.0000.1590.0000.0000.0000.0000.0000.0000.0690.0000.0000.0000.0000.0000.0250.0000.0000.0320.0230.0000.0200.0000.0070.0150.0000.0130.0000.0000.0590.0160.0040.0490.0000.0220.0260.0370.0000.0000.0000.0050.1040.0000.0220.1080.0000.0000.0000.1210.0410.004
System tools : modify global animation speed (D)0.0350.0000.0340.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0220.0000.0000.0570.0000.0000.0000.0000.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0000.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0000.0000.0150.0000.0000.0000.0760.0000.0000.0000.0000.0000.0110.0060.0090.1150.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0390.0000.0000.0000.0150.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0320.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0000.000
System tools : modify global system settings (D)0.2130.0380.3860.0390.0000.0410.0000.0280.0000.0280.0120.0540.0000.0280.0000.0570.0000.0280.0140.0000.0080.0000.0080.0000.0720.0610.0420.0480.0000.0480.0000.0740.0000.0000.0870.2800.0000.0220.0060.0000.0460.0000.0180.0000.0000.0000.0060.0120.0000.0280.0220.0000.1640.0760.1070.0910.0480.1100.0000.0240.1930.0480.0340.0190.1650.0830.0550.1160.1550.1160.0780.0710.3460.0860.0800.1560.0400.1350.1710.2020.0950.1160.0960.2230.1340.1330.0130.0900.1650.0960.0900.0391.0000.0830.1780.0660.2210.1310.0670.0930.1440.0000.0940.1070.0130.0670.1030.1680.0830.2350.0000.0000.0000.0000.0000.0000.0510.0470.0000.0000.0000.0000.1290.0740.0370.1430.1320.0630.1200.0170.0540.0620.0520.0270.0000.0780.0910.0430.0370.1130.0280.0870.1270.0880.0270.0210.0230.1610.0800.0160.2130.1470.0570.0530.0240.0510.2330.087
System tools : mount and unmount filesystems (D)0.1180.0120.1650.0260.0000.0220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0210.0000.0000.0000.0510.0090.0000.0000.0000.0000.0000.0550.0000.0000.0000.0000.0000.0100.0000.0240.0330.0000.0000.0180.0000.0260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0450.0000.0460.0410.0230.0160.0000.1120.0520.0340.0000.0000.0670.0590.0000.0020.0140.0650.0000.0140.1470.0000.0000.1060.0530.0560.0480.0530.0460.0160.0000.0320.0460.0670.0960.1860.0580.0120.0100.0000.0831.0000.0380.0000.0680.0110.0000.0000.0700.0000.0000.0070.0000.1180.0000.0620.0690.0710.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0640.0220.0000.0390.0710.0000.0190.0080.0050.0140.0210.0090.0000.0000.0390.0000.0000.0250.0000.0000.0290.0040.0000.0000.0420.0000.0180.0200.0530.0770.0000.0000.0000.0200.0510.059
System tools : prevent device from sleeping (D)0.2600.0300.4580.0310.0000.0200.0000.0000.0390.0000.0000.0000.0060.0000.0140.0120.0000.0040.0000.0410.0160.0210.0370.0000.0220.0450.0770.0280.0000.0140.0090.0340.0080.0000.1000.0760.0240.0000.0090.0040.1520.0440.0180.0110.0000.0050.0090.0000.0000.0090.0150.0000.2160.0900.2730.2100.0950.0220.0090.0360.1850.1310.0100.2650.2270.2020.0780.0870.0670.2590.0480.0940.4110.0920.0900.2620.0330.2430.1150.2100.1680.0400.0440.2700.0540.0250.0170.0000.1230.0560.0240.0000.1780.0381.0000.0550.1470.0780.0030.0450.1440.0050.1340.0510.0120.0210.0040.0670.0430.1440.0000.0330.0000.0310.0330.0220.0460.0180.0240.0260.0220.0660.1090.0670.0000.2090.1250.0730.1400.0720.0960.1220.1000.0850.0170.0270.1280.0220.0180.1150.0220.1040.1640.0730.0440.0130.0880.0000.0260.0820.1730.1360.0130.0040.0000.0050.1160.010
System tools : read subscribed feeds (S)0.0650.0020.1460.0000.0180.0000.0000.1180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0000.0620.0000.0000.0000.0000.0000.0000.0000.0000.0200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0500.0000.0140.0000.0000.0200.0290.0000.0000.0000.0110.0130.0000.0460.0230.0270.0000.0000.0000.0130.0000.0210.3830.0000.0060.0280.0000.0000.0160.0080.0210.0000.0000.0000.0630.0060.0000.0000.0000.0000.0070.0000.0660.0000.0551.0000.2940.2910.0000.0000.0000.0000.0000.0040.0000.0170.0040.0060.7730.2930.0000.2290.0000.0000.2290.0000.0610.3090.0000.0000.3560.1190.1520.2760.0000.1000.2270.5220.1920.1560.0000.0000.0000.0000.0000.4160.0160.0790.0660.0100.0000.0000.0070.0000.0000.0000.0170.0000.0000.0160.0420.0100.0000.0000.0000.0000.0370.010
System tools : read sync settings (S)0.1860.0230.4680.0270.0000.0230.0000.1170.0000.0000.0280.0640.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0160.0590.0000.0610.0000.0000.0000.0180.0100.0280.0810.3220.0000.0000.0190.0000.0280.0000.0000.0000.0000.0000.0000.0280.0000.0000.0000.0000.0940.0340.1070.0770.0550.0450.0000.0000.2060.0430.0080.1330.1150.0750.1550.0660.1340.0760.0000.0550.5950.0620.0820.0870.0000.1400.1970.1780.1060.0560.1910.1280.0770.1420.0210.1160.1400.0790.1610.0150.2210.0680.1470.2941.0000.5880.0000.0720.1040.0000.0640.0700.0000.0240.0210.1380.3150.9290.0080.0740.0000.0000.0740.0000.0600.1020.0000.0000.1170.0360.6420.1680.1070.3300.6180.1930.2910.0760.0230.0430.0620.0180.1120.1860.0840.0420.0180.0790.0000.0410.1570.0860.0000.0000.1090.0180.0800.0680.1930.1480.0470.0760.0400.0840.2470.123
System tools : read sync statistics (S)0.1350.0150.2380.0460.0000.0390.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0230.0290.0380.0050.0000.0000.0000.0000.0000.0000.0470.0100.2580.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0380.0000.0510.0510.0290.0000.0000.0000.0610.0260.0160.0840.0580.0500.0940.0270.0190.0500.0000.0310.4140.0420.0510.0640.0110.0590.0360.0560.0000.0130.0110.0360.0620.0110.0000.0000.0000.0000.0250.0000.1310.0110.0780.2910.5881.0000.0000.0220.0690.0000.0660.0200.0000.0080.0100.0120.2660.5620.0160.1220.0000.0000.1220.0000.0000.1650.0000.0000.1900.0620.4960.1460.0000.2150.4340.1900.3490.0720.0100.0310.0320.0000.1830.1690.0210.0000.0000.0280.0000.0060.0590.0410.0000.0000.0700.0000.0000.0670.1230.0560.0000.1250.0000.0000.1340.000
System tools : read/write to resources owned by diag (S)0.0800.0000.0210.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.4490.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.2120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0000.0000.0160.0000.0000.1720.0000.0000.0060.0000.0430.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0670.0000.0030.0000.0000.0001.0000.0000.0000.0000.1500.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0030.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1040.0000.6870.0000.0000.0000.000
System tools : reorder running applications (D)0.0550.0000.1940.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0460.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0000.0000.0000.0000.0140.0000.0000.0000.0000.0000.0000.0000.1820.1480.0000.0190.0000.0440.0240.0000.0000.0000.0000.0240.0140.0000.0000.0330.0150.0000.1430.1360.0280.0000.0290.1100.0570.0050.0360.0260.0440.0330.0140.0000.0000.0460.0700.1300.0460.0000.0000.0500.0400.0490.0000.0930.0000.0450.0000.0720.0220.0001.0000.1070.0000.0000.0950.0000.0000.0000.0060.0000.0430.0000.0000.0000.0000.0000.0000.2220.0000.0000.0000.0000.0000.0140.0000.0000.0590.0550.0000.1010.0000.0000.0030.0040.0000.0000.0000.0240.0000.0000.0560.0000.0190.0200.0320.0000.0000.0000.0000.0000.0000.0400.1150.0000.0000.0000.0000.0610.000
System tools : retrieve running applications (D)0.1270.0370.3980.0260.0000.0030.0000.0000.0850.0000.0100.0000.0000.0000.0000.0120.0000.0310.0020.0090.0000.0000.0230.0000.0770.0360.0710.0330.0000.0030.0000.0610.0000.0100.0680.0950.0000.0000.0050.0000.1940.0000.0300.0000.0000.0000.0050.0100.0000.0250.0200.0000.1220.0110.1080.1540.0260.0400.0000.0370.1760.0910.0000.0870.1780.1390.1010.0740.0920.2280.0660.0680.3300.1390.0650.1420.0260.1650.0780.1960.1780.0000.0510.1900.0900.1180.0750.0750.2420.0630.0620.0000.1440.0700.1440.0000.1040.0690.0000.1071.0000.0110.1860.0880.0000.0730.0800.0880.0250.1060.0000.0000.0000.0390.0000.0000.0710.0000.0000.0000.0000.0400.0750.0200.0000.1220.0770.0070.0670.0630.0840.0840.0860.0850.0000.0000.2020.0390.0450.1820.0130.0830.1920.0300.0140.0000.0110.1350.0610.0000.1590.1610.0390.0000.0000.0590.0770.067
System tools : send package removed broadcast (S)0.0220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0390.0000.0000.0080.0000.0230.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0230.0000.0000.0000.0050.0000.0000.0000.0000.0000.0111.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
System tools : send sticky broadcast (S)0.1590.0300.4760.0000.0000.0000.0000.0000.0170.0000.0000.0000.0000.0000.0000.0780.0000.0000.0000.0000.0000.0000.0210.0000.0430.0860.0090.0640.0000.0000.0000.0000.0110.0000.0040.0530.0000.0000.0000.0000.4230.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.2930.0090.0180.2150.0180.0000.0000.0000.2480.0420.0000.0290.0960.0570.0740.0240.0690.0880.0000.0410.2820.1270.0180.0740.0000.1330.0050.1990.2420.0000.0110.2730.0160.0180.0000.0000.0290.0000.0000.0000.0940.0000.1340.0000.0640.0660.1500.0000.1860.0091.0000.0000.0000.0020.0000.0110.0000.0660.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0830.0000.0000.0260.0590.0000.0190.0000.1990.0930.0960.2050.0000.0000.2610.0000.0080.2140.0110.0100.1960.0000.0000.0070.0000.0000.0080.0080.1330.0730.0000.1080.0000.0060.0460.000
System tools : set preferred applications (S)0.0880.0000.1620.0000.0000.0000.0000.0000.0000.0000.0510.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0150.0000.0290.0000.0100.0000.0000.0120.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0510.0000.1090.0890.0000.0000.0000.0430.0000.0000.1610.0000.0000.0610.0160.0000.0050.0790.0370.0950.0060.0660.0270.0000.0300.2910.0710.0240.0490.0000.0580.0900.0880.0420.0000.0130.0800.0390.2560.0110.0000.0910.1040.0150.0000.1070.0070.0510.0040.0700.0200.0000.0950.0880.0000.0001.0000.0000.1070.2040.0610.0000.0600.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0570.0000.0000.0460.0730.0000.0000.0000.0000.0340.0390.0000.0000.0000.0590.0130.0370.1030.0000.0450.0770.0000.0840.0000.0150.3250.1440.0250.0850.0790.0000.0000.0000.0980.0660.000
System tools : set time zone (D)0.0390.0000.0280.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0680.0000.0750.0000.0000.0000.0490.0000.0000.0000.0000.0490.0910.0000.0410.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1440.0000.0000.0000.0000.0000.0000.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0000.0000.0020.0000.0090.0750.0000.0000.0000.0000.0050.0000.0000.0030.0140.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0130.0000.0120.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0680.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0040.0170.0020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0060.0000.0000.0000.0000.0000.0000.000
System tools : set wallpaper (S)0.2770.0490.0620.0100.0000.0000.0000.0000.0000.0000.0130.0000.0290.0000.0000.0000.0000.0580.0000.0000.0060.0000.0000.0000.0100.0000.0000.0460.0000.0000.0000.0280.0000.0000.0000.0060.0000.0040.0000.0000.0000.0000.0000.0000.0000.0000.0070.0130.0000.0000.0000.0000.0000.0000.0090.0110.0000.0360.0000.0000.0170.0570.0000.0130.0470.1020.0360.0160.0180.0200.0000.0530.2530.0090.0000.1110.0000.0220.0190.0040.0020.0250.0060.0000.0100.1200.0050.0000.0610.0470.0000.0040.0670.1180.0210.0170.0240.0080.0000.0000.0730.0000.0020.1070.0001.0000.2750.0070.0100.0260.0000.0000.0000.0000.0000.0000.0000.0510.0000.0000.0000.0000.0130.0000.0150.0000.0170.0000.0000.0010.0220.0000.0140.0220.0000.0000.0000.0180.0070.0140.0000.0000.0000.0030.0000.0000.0050.1730.0710.0000.0000.0420.0000.0000.0000.0640.0090.000
System tools : set wallpaper size hints (S)0.1060.0000.0950.0000.0080.0000.0000.0000.0000.0000.0510.0000.0000.0000.0000.0000.0000.0540.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0000.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0510.0000.0000.0000.0000.0060.0070.0440.0090.0000.1450.0000.0000.0760.0070.0000.0050.0150.0000.0350.0000.0150.0000.0000.0250.2770.0660.0000.0330.0000.0180.1000.0620.0000.0000.0000.0120.0000.3910.0400.0000.1140.1950.0150.0000.1030.0000.0040.0040.0210.0100.0000.0000.0800.0000.0000.2040.0000.2751.0000.0130.0000.0150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0020.0000.0000.0000.0000.0000.0000.0070.0030.0000.0000.0000.0000.0000.0140.0760.0370.0790.0000.0000.0340.0000.0000.0000.0000.5930.0450.0300.0710.0000.0000.0000.0000.0120.0320.000
System tools : write Access Point Name settings (D)0.1040.0000.2610.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0000.0000.0000.0150.0000.0470.0000.0090.0190.0750.0170.0240.0000.0000.0400.0000.0000.1510.1660.0000.0320.1200.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0320.0420.0000.0090.1090.0000.0030.1210.0100.0000.0070.0970.0340.0000.0980.2510.0440.0000.0210.2550.0530.0910.0380.0000.0710.1660.2080.1760.0370.0290.0510.1290.0150.0000.0130.1190.0000.0720.0320.1680.0620.0670.0060.1380.0120.0000.0060.0880.0000.0110.0610.0680.0070.0131.0000.0000.1500.0000.0000.0000.0000.0000.0000.1990.0000.0000.0000.0000.0000.0230.0000.0000.0590.0210.0000.0410.0000.0300.0230.0390.0390.0000.0000.0990.0000.0000.0890.0000.0990.0980.1110.0510.0000.0060.0040.0320.0050.0430.0710.0000.0000.0140.0150.0610.000
System tools : write subscribed feeds (D)0.0710.0070.2690.0000.0000.0000.0000.1150.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0600.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0490.0000.0130.0000.0170.0140.0270.0000.0000.0000.0000.0140.0000.0840.0330.0280.0000.0000.0000.0150.0000.0240.5140.0000.0000.0190.0000.0240.0000.0380.0000.0000.0000.0440.0610.0000.0000.3430.0430.0000.0000.0000.0830.0690.0430.7730.3150.2660.0000.0000.0250.0000.0000.0000.0000.0100.0000.0001.0000.3260.0000.2220.0000.0000.2220.0000.0600.3000.0000.0000.3450.1150.1470.2670.0000.1210.2840.5060.1860.1510.0000.0110.0110.0000.0000.4040.0650.0770.0380.0500.0000.0000.0440.0000.0000.0000.0770.0000.0480.0060.0610.0430.0000.0000.0000.0540.0720.191
System tools : write sync settings (D)0.1780.0250.4880.0280.0000.0240.0000.0390.0000.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0160.0860.0000.0640.0000.0000.0000.0190.0110.0290.0880.3440.0000.0000.0200.0000.0290.0000.0000.0000.0000.0000.0000.0290.0000.0000.0000.0000.1020.0440.0970.0840.0580.0470.0000.0000.2180.0410.0080.1300.1090.0720.1610.0820.1580.0790.0000.0490.5740.0660.0800.0840.0000.1270.2070.1750.1130.0590.2040.1340.0690.1200.0220.1200.1480.0820.1590.0160.2350.0710.1440.2930.9290.5620.0000.0430.1060.0000.0660.0600.0000.0260.0150.1500.3261.0000.0080.0770.0000.0000.0770.0000.0620.1050.0000.0000.1210.0370.6770.1740.0350.3110.6330.1760.2930.0630.0250.0400.0540.0200.0590.1420.0790.0440.0190.0790.0000.0480.1650.0890.0000.0000.1110.0290.0860.0690.1930.1520.0490.0790.0000.0910.2600.119
Your accounts : Google App Engine (D)0.0490.0000.0470.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0160.0000.0000.0000.0000.0000.0000.0000.0150.0100.0000.0000.0000.0000.0000.0000.0620.0000.0000.0160.0000.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0081.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1990.0650.0000.0000.0550.0690.0000.1190.2080.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0290.0000.0000.0000.0000.0000.0360.000
Your accounts : Google Docs (D)0.0660.0000.1200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0230.0000.0000.0000.0470.0050.0000.0000.0000.0150.0000.0000.0000.0040.0000.0160.1980.0000.0000.0010.0140.0120.0600.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0330.2290.0740.1220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.2220.0770.0001.0000.0000.3910.9580.0000.0330.0000.0000.0000.5810.1950.0890.1760.0000.0670.1440.3600.1470.2810.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0320.0000.0000.0000.0000.0000.0000.000
Your accounts : Google Finance (D)0.0600.0140.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0200.0000.0000.0050.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0450.0000.0000.0970.1700.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Your accounts : Google Maps (D)0.0400.0000.1800.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0430.0000.0000.0000.2520.0370.0040.0000.0430.0190.0140.7380.0000.0000.0220.0000.0230.1230.0290.0000.0000.0000.0500.0480.0530.0000.0000.0000.0600.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0310.0000.0000.0000.0000.0000.0390.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.3910.0001.0000.3910.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0640.1500.3760.1390.2680.0000.0300.0300.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0270.0000.0000.0000.0000.0000.0450.000
Your accounts : Google Spreadsheets (D)0.0660.0000.1200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0070.0000.0230.0000.0000.0000.0470.0050.0000.0000.0000.0150.0000.0000.0000.0040.0000.0160.1980.0000.0000.0010.0140.0120.0600.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0330.2290.0740.1220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.2220.0770.0000.9580.0000.3911.0000.0000.0330.0000.0000.0000.5810.1950.0890.1760.0000.0670.1440.3600.1470.2810.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0320.0000.0000.0000.0000.0000.0000.000
Your accounts : Google Voice (D)0.0580.0000.2160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.3610.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0650.0000.0200.0550.0000.0000.0000.0000.0000.0000.0000.0550.0280.0060.0000.1100.0000.0130.0000.0080.2980.0380.0630.0120.0000.0350.0000.0000.0000.0000.0000.0750.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0450.1060.2640.0970.1700.0000.0000.0000.0000.0000.0000.0940.0000.0000.0740.0000.0000.0660.0000.0000.0000.0000.0000.0000.0000.0370.0000.0000.0000.0000.0000.0570.000
Your accounts : Google mail (D)0.0700.0080.3440.0000.0000.0000.0000.1580.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0420.0000.0000.0270.0460.0000.0000.0000.0000.0000.0000.0000.0220.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0390.0000.0000.0000.0000.0000.0000.0080.0000.0000.0000.0160.0000.1860.1890.0240.0000.0190.1800.0600.0520.0280.0100.0310.0000.0150.0210.0450.0000.0000.1130.0000.0000.0000.0630.0000.0690.0000.0510.0000.0460.0610.0600.0000.0000.2220.0710.0000.0000.0000.0000.0000.0000.1990.0600.0620.0000.0330.0000.0000.0330.0001.0000.0000.0000.0000.0000.0000.0390.0000.0000.0760.0530.0450.2000.0480.0560.0110.0110.0660.0000.0970.0810.1060.0530.0720.0000.0000.0480.0000.0000.0000.0130.0000.0200.0250.0760.0810.0000.0000.0000.0230.1100.000
Your accounts : Picasa Web Albums (D)0.0940.0000.1930.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0560.0000.0170.0480.0360.0000.0000.0000.0000.0000.0000.0480.0000.0040.0000.0000.0000.0110.0000.0000.2740.0000.0000.0100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0470.0000.0180.3090.1020.1650.0000.0000.0000.0000.0000.0000.0000.0510.0000.0000.3000.1050.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0390.0920.2290.0850.1480.0000.0180.0180.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0320.0000.0000.0000.0000.0000.0490.000
Your accounts : YouTube (D)0.0850.0060.0620.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0280.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0000.0030.0000.0000.0320.0130.1260.0000.0000.0170.0000.0160.0950.0000.0000.0160.0000.0080.0000.0000.0970.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0240.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.8960.0000.0000.0000.0000.0000.0600.1410.3110.1300.2540.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Your accounts : YouTube usernames (D)0.0890.0080.0650.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0340.0120.1330.0000.0000.0160.0000.0110.0890.0000.0000.0140.0000.0090.0000.0000.1020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.8961.0000.0000.0000.0000.0000.0000.0550.1310.3280.1210.2400.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Your accounts : access all Google services (S)0.0780.0000.1380.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0420.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0040.0000.0080.2980.0000.0000.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0220.3560.1170.1900.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.3450.1210.0000.5810.0000.0000.5810.0000.0000.0000.0000.0001.0000.3030.1400.2740.0000.0450.1060.2640.0970.1700.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0370.0000.0000.0000.0000.0000.0000.000
Your accounts : access other Google services (D)0.0900.0180.1790.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0140.0000.0000.0000.0000.0160.0000.0010.0000.0320.0000.2580.0000.0300.0000.0690.1710.0030.0540.0000.0000.0960.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0660.1190.0360.0620.0000.0000.0400.0000.0000.0000.0000.0000.0000.0000.1150.0370.1990.1950.0000.0000.1950.0000.0000.0000.0000.0000.3031.0000.0760.0910.0300.1470.0640.0870.0660.5550.0000.0270.0330.0000.0000.0000.0850.0000.0000.0650.0000.0000.0570.0000.0000.0000.0000.0000.0000.0000.0570.0000.0000.0000.0000.0000.0050.000
Your accounts : act as an account authenticator (D)0.1690.0220.3570.0330.0000.0280.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0200.0780.0130.1080.0000.0000.0000.0000.0130.0340.0190.1830.0000.0000.0000.0000.0360.0170.0000.0000.0000.0000.0000.0000.0190.0000.0000.0000.0920.0040.0830.0940.0630.0000.0000.0000.1040.0390.0100.1030.0720.0600.1660.0700.0780.0700.0000.0410.4350.0630.0810.0840.0040.0970.0450.0610.0570.0180.0000.0930.0500.1240.0000.0050.0630.0330.0250.0000.1290.0640.1090.1520.6420.4960.0000.0140.0750.0000.0830.0570.0000.0130.0020.0230.1470.6770.0650.0890.0000.0000.0890.0000.0390.0000.0000.0000.1400.0761.0000.3160.0000.3210.7130.1020.2820.0450.0090.0320.0420.0130.0690.1440.0340.0000.0000.0410.0000.0000.1300.0190.0000.0000.0790.0120.0000.0750.1990.1050.0000.0910.0000.0000.2640.000
Your accounts : act as the AccountManagerService (S)0.0850.0070.1680.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0380.0000.0000.0000.0000.0000.0000.0380.0000.0000.0000.0170.0080.0370.0110.0170.0060.0000.0000.0160.0180.0000.0440.0560.0290.0000.0000.0000.0280.0320.0280.2350.0460.0510.0420.0000.0240.0240.0370.0130.0000.0000.0430.0620.0000.0000.0160.0470.1120.0000.0000.0740.0220.0670.2760.1680.1460.0000.0000.0200.0000.0000.0000.0000.0000.0000.0000.2670.1740.0000.1760.0000.0000.1760.0000.0000.0000.0000.0000.2740.0910.3161.0000.0000.1510.2090.2040.0990.0610.0220.0010.0000.0000.0000.2820.0360.0000.0070.0260.0000.0000.0410.0000.0000.0000.0590.0000.0120.0570.0570.0020.0950.0000.0000.0000.0410.090
Your accounts : contacts data in Google accounts (D)0.0470.0000.0760.0000.0000.0000.0000.4560.0000.0000.0000.4560.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0450.0000.0100.0380.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0000.0060.0000.0120.1720.0250.0300.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0370.0000.0000.0000.1070.0000.0000.0000.0000.0000.0000.0000.0000.0150.0000.0000.0000.0350.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0300.0000.0001.0000.0500.1180.1330.1090.1900.0000.0110.0110.0000.0000.2830.0460.0000.0000.0360.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0240.0000.0000.0000.2940.0000.0000.000
Your accounts : discover known accounts (S)0.1710.0530.3980.0310.0370.0110.0000.0450.0390.0230.0090.0450.0000.0230.0000.0190.0000.0000.0100.0000.0230.0460.0910.0040.0270.0760.0670.0340.0110.0180.0000.0000.0110.0090.0650.1290.0000.0000.0030.0310.0160.0450.0140.0000.0000.0000.0030.0090.0000.0000.0000.0000.1020.0560.1750.0990.0610.0080.0030.0610.1080.1160.0000.2150.1340.1810.1060.1260.0930.1950.0000.0860.5060.0950.1150.1870.0420.1670.0850.0910.0520.0050.0420.1280.0620.0570.0000.0490.0900.0570.0320.0000.1430.0390.2090.1000.3300.2150.0000.0590.1220.0000.0260.0460.0000.0000.0000.0590.1210.3110.0550.0670.0450.0640.0670.0450.0760.0390.0600.0550.0450.1470.3210.1510.0501.0000.4260.1700.4490.2300.0260.1190.1240.0460.0340.0780.1420.0490.0800.1410.0450.1390.1800.1190.0560.0160.1130.0210.0650.0960.2960.1510.0380.0310.0110.0620.2930.067
Your accounts : manage the accounts list (D)0.1790.0240.4220.0240.0000.0360.0000.1060.0000.0550.0000.1060.0000.0550.0000.0490.0000.0000.0000.0000.0000.0000.0000.0000.0130.0820.0050.0740.0000.0340.0000.0000.0090.0250.0140.1450.0000.0000.0000.0000.0230.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0960.0200.1040.0960.0480.0000.0170.0650.1070.0500.0060.1510.0850.0700.2010.0720.0710.0700.0000.0540.4810.0760.0820.0920.0000.1230.0800.0710.0790.0100.0270.1250.0300.0920.0000.1180.0770.0540.0230.0000.1320.0710.1250.2270.6180.4340.0000.0550.0770.0000.0590.0730.0000.0170.0000.0210.2840.6330.0690.1440.0000.1500.1440.1060.0530.0920.1410.1310.1060.0640.7130.2090.1180.4261.0000.3910.5470.2570.0430.0570.0550.0260.0510.1820.1070.0210.0150.1090.0000.0220.1470.0120.0410.0000.1310.0060.0470.0870.2190.1070.0420.0680.0360.0440.2650.103
Your accounts : read Google service configuration (S)0.0600.0140.2230.0000.0000.0000.0000.2640.0000.1390.0000.2640.0000.1390.0000.1050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0470.0000.0210.0570.0120.0000.0000.1080.0250.0190.0000.0720.0460.0340.3250.0270.0000.0210.0000.0310.3570.0320.0230.0410.0000.0440.0350.0160.0350.0000.0000.0610.0450.0000.0000.0000.0000.0000.0000.0000.0630.0000.0730.5220.1930.1900.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.5060.1760.0000.3600.0000.3760.3600.2640.0450.2290.3110.3280.2640.0870.1020.2040.1330.1700.3911.0000.3610.4160.0030.0160.0160.0030.0000.4180.0410.0580.0480.0300.0280.0000.0160.0000.0000.0000.0000.0000.0000.0000.0620.0000.0000.0000.0940.0000.0550.000
Your accounts : use the authentication credentials of an account (D)0.1440.0120.2750.0220.0000.0330.0000.0970.0000.0510.0000.0970.0000.0510.0000.0360.0000.0000.0000.0000.0000.0000.0150.0180.0120.0340.0290.0000.0080.0310.0000.0000.0080.0230.0150.1240.0000.0000.0000.0000.0050.0090.0000.0000.0000.0000.0150.0000.0120.0000.0000.0000.0420.0390.0980.0690.0290.0000.0150.0970.0660.0540.0050.2130.0790.0690.1420.0560.0490.0620.0000.0560.3390.0440.0660.0900.0550.0990.0530.0490.0360.0120.0000.0810.0600.0000.0000.0000.0190.0000.0200.0000.1200.0190.1400.1920.2910.3490.0000.1010.0670.0000.0190.0000.0060.0000.0000.0410.1860.2930.1190.1470.0970.1390.1470.0970.2000.0850.1300.1210.0970.0660.2820.0990.1090.4490.5470.3611.0000.2700.0330.0460.0380.0190.0000.1550.0540.0190.0130.0660.0000.0100.0670.0100.0080.0000.0480.0000.0160.0530.1330.0660.0000.0000.0330.0000.1190.000
Your accounts : view configured accounts (S)0.0780.0120.2060.0120.0000.0090.0000.1700.0000.0000.0000.0940.0000.0000.0000.0660.0000.0000.0000.0000.0000.0000.0000.0000.0050.0190.0000.0000.0000.0570.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0200.0000.0000.0000.0000.0000.0000.0000.0000.0000.0370.0000.0290.0380.0180.0000.0000.0690.0090.0270.0000.0330.0260.0440.2450.1730.0020.0480.0000.0440.2280.0170.0460.0330.0000.0890.0130.0040.0240.0000.0000.0360.0000.0090.0000.0000.0090.0060.0000.0000.0170.0080.0720.1560.0760.0720.0000.0000.0630.0000.0000.0000.0000.0010.0070.0000.1510.0630.2080.2810.1700.2680.2810.1700.0480.1480.2540.2400.1700.5550.0450.0610.1900.2300.2570.4160.2701.0000.0000.0360.0250.0000.0000.1050.0860.0880.1210.0780.0170.0030.0470.0000.0000.0000.0310.0160.0000.0460.0890.0090.0000.0000.0600.0000.0550.000
Your location : access extra location provider commands (S)0.1860.0460.4070.0300.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0000.0000.0020.2210.0000.0000.0020.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0100.0000.0000.0000.0770.2330.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.2500.0620.0970.1590.1310.0000.0110.0000.1670.0680.0000.0400.0870.0790.0000.0040.0090.1130.1080.0450.2650.1260.0530.1010.0010.0810.0490.1400.1470.0110.0000.1690.0000.0150.0000.0000.0070.0240.0070.0000.0540.0050.0960.0000.0230.0100.0000.0000.0840.0000.1990.0000.0000.0220.0030.0300.0000.0250.0000.0000.0000.0000.0000.0000.0560.0000.0000.0000.0000.0000.0090.0220.0000.0260.0430.0030.0330.0001.0000.2670.2810.3900.0000.0000.1980.0000.0000.1600.0000.0180.2880.0320.0000.0000.0000.0000.0000.0020.1960.0020.0220.0000.0000.0000.1260.020
Your location : coarse (network-based) location (D)0.2960.0150.5290.0050.0000.0060.0000.0070.0000.0090.0000.0210.0130.0090.0090.0110.0000.0000.0000.0110.0840.0150.0110.0000.0300.0490.0000.0130.0000.0000.0090.0230.0000.0000.0490.0240.0360.0000.0000.0300.0970.0050.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.1240.0930.1880.1120.1680.0140.0090.0300.0710.2400.0000.1260.1400.2170.0570.0000.0080.2540.0300.0830.2810.2070.0510.1700.0150.2030.0340.0980.0560.0000.0070.0870.0110.0280.0000.0240.0340.0170.0150.0040.0620.0140.1220.0000.0430.0310.0030.0030.0840.0000.0930.0340.0040.0000.0000.0230.0110.0400.0090.0000.0000.0300.0000.0000.0110.0180.0000.0000.0000.0270.0320.0010.0110.1190.0570.0160.0460.0360.2671.0000.6520.2100.0000.0000.0920.0050.0000.0700.0000.0380.1460.0560.0000.0000.1150.0130.1360.1030.1630.0460.0070.0040.0150.1330.1260.025
Your location : fine (GPS) location (D)0.4170.0710.5580.0040.0000.0000.0000.0070.0100.0090.0000.0210.0130.0090.0200.0140.0000.0000.0000.0100.0940.0000.0560.0000.0240.0450.0450.0330.0000.0000.0000.0360.0070.0000.0660.0500.0320.0000.0000.0330.0910.0040.0000.0000.0000.0000.0090.0000.0000.0000.0000.0100.1210.0980.1840.1170.2310.0290.0090.0300.0980.2260.0000.1130.1680.2050.0430.0130.0200.2200.0400.0520.3020.3170.0770.1750.0170.2190.0630.1300.0720.0000.0000.0770.0130.0240.0000.0240.0560.0240.0000.0000.0520.0210.1000.0000.0620.0320.0030.0040.0860.0000.0960.0390.0170.0140.0000.0390.0110.0540.0000.0000.0000.0300.0000.0000.0110.0180.0000.0000.0000.0330.0420.0000.0110.1240.0550.0160.0380.0250.2810.6521.0000.2830.0000.0000.0880.0000.0060.0660.0000.0360.1590.0530.0000.0000.1260.0150.1470.1120.1890.0480.0170.0050.0050.1410.1400.033
Your location : mock location sources for testing (D)0.2150.0650.3630.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0000.0000.0020.1330.0000.1970.0120.0000.0000.1310.0000.0000.0000.0000.0000.0000.0000.0220.0060.0000.0000.0110.0780.2370.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1030.0770.0390.0910.0840.0000.0110.0000.1440.0690.0000.0480.1250.0680.0000.0100.0220.0490.1120.0380.2380.2010.0420.0960.0000.0870.0140.1340.1610.0000.0050.1460.0030.0150.0000.0000.0420.0070.0130.0000.0270.0090.0850.0000.0180.0000.0000.0000.0850.0000.2050.0000.0020.0220.0000.0390.0000.0200.0000.0000.0000.0000.0000.0000.0660.0000.0000.0000.0000.0000.0130.0000.0000.0460.0260.0030.0190.0000.3900.2100.2831.0000.0000.0000.1930.0000.0000.1370.0000.0000.1380.0000.0000.0000.0220.0000.0040.0220.1290.0000.0000.0000.0000.0100.0580.000
Your messages : Read Email attachments (D)0.0990.0120.0730.0000.2630.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0030.0000.0000.0000.0000.0090.0000.0000.0350.0190.0000.0000.0000.0210.0000.0260.1190.0040.0000.0320.0000.0460.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0170.0000.1120.1830.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0590.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0690.0000.0000.0340.0510.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.2960.0000.0000.0000.0000.0000.0000.0000.0470.0000.0000.0450.0180.0330.0000.2470.0000.0000.0230.000
Your messages : Send Gmail (S)0.0810.0000.1130.0000.0000.0000.0000.5580.0000.0000.0000.3100.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0000.0140.0000.0000.0000.0000.0000.0050.0000.0470.0260.0160.0000.0000.0000.0070.0000.0120.4570.0060.0270.0230.0000.0000.0000.0000.0000.0080.0000.0000.1180.0000.0000.0000.0000.0000.0000.0000.0780.0000.0270.4160.1860.1690.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.4040.1420.0000.0000.0000.0000.0000.0000.0970.0000.0000.0000.0000.0000.1440.2820.2830.0780.1820.4180.1550.1050.0000.0000.0000.0000.0001.0000.0430.1250.0620.0330.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0240.0000.0000.0000.2000.0000.0150.000
Your messages : edit SMS or MMS (D)0.2200.0000.6030.0000.0110.0000.0000.0510.1720.0000.0220.0510.0000.0000.0000.0340.0000.0000.0000.0000.0110.0970.0140.0070.0220.0280.0110.0000.0000.0000.0150.0000.0070.0000.0480.0250.0000.0000.0000.0000.2930.0000.0000.0090.0000.0000.0000.0220.0000.0490.0670.0000.2330.0000.0830.1610.0000.0000.0000.0000.2090.0290.0000.0580.1060.0590.0960.1880.1730.1230.1150.0410.3090.2230.3910.0740.0000.2080.0500.1940.2450.0190.0870.3090.0440.0270.0150.1180.1210.0890.0590.0000.0910.0390.1280.0160.0840.0210.0000.0240.2020.0000.2610.0590.0000.0000.0140.0990.0650.0790.0000.0000.0000.0000.0000.0940.0810.0000.0000.0000.0000.0850.0340.0360.0460.1420.1070.0410.0540.0860.1980.0920.0880.1930.0000.0431.0000.0330.0350.7360.0000.2970.5420.0930.1680.0570.0570.0350.0800.0410.3450.1350.0890.0000.0870.0800.2190.141
Your messages : modify Gmail (D)0.0370.0000.1200.0000.1640.0000.0000.2020.0000.0000.1510.0000.0000.0000.0000.0000.0000.0000.1250.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0370.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1510.0000.0000.0000.0000.0000.0000.0320.0000.0000.0000.0000.0000.0000.0000.0000.0070.0190.0050.0450.0220.0430.0000.0000.0000.2730.0220.0100.0210.0000.0200.0000.0000.0000.0000.0000.0130.0240.0830.0390.0000.0480.0730.0160.0000.0430.0000.0220.0790.0420.0000.0000.0000.0390.0000.0000.0130.0000.0180.0760.0000.0770.0440.0000.0000.0000.0000.0000.0000.1060.0000.0000.0000.0000.0000.0000.0000.0000.0490.0210.0580.0190.0880.0000.0050.0000.0000.0000.1250.0331.0000.4820.0940.2020.0370.0110.0000.0000.0530.0000.1160.0530.0330.0580.0250.0710.0000.0000.0590.0540.066
Your messages : read Gmail (D)0.0800.0120.0970.0000.3150.0000.0000.1020.0000.0000.0760.0000.0000.0000.0000.0000.0000.0000.0620.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0000.0000.0000.0000.0000.0430.0000.0000.0000.0000.0000.0000.0370.0000.0000.0000.0000.0760.0000.0000.0000.0000.0020.0000.0190.0000.0000.0000.0000.0000.0140.0000.0000.0000.0180.0090.0170.0250.0370.0100.0000.0200.1480.0120.0090.0330.0000.0280.0130.0030.0000.0000.0000.0200.0350.0570.0190.0000.0310.0350.0040.0000.0370.0000.0180.0660.0180.0000.0000.0000.0450.0000.0080.0370.0000.0070.0370.0000.0380.0190.0000.0000.0000.0000.0000.0000.0530.0000.0000.0000.0000.0000.0000.0070.0000.0800.0150.0480.0130.1210.0000.0000.0060.0000.2960.0620.0350.4821.0000.1070.3070.0830.0430.0060.0000.0260.0000.0810.0420.0500.0740.0310.0340.0000.0000.0330.0250.032
Your messages : read SMS or MMS (D)0.2500.0000.5550.0000.0410.0350.0000.0400.1360.0000.0170.0400.0000.0000.0000.0250.0000.0000.0110.0030.0360.0760.0320.0000.0160.0470.0310.0110.0000.0000.0110.0080.0230.0000.0360.0390.0000.0000.0000.0000.2350.0000.0000.0050.0000.0000.0000.0170.0000.0390.0530.0000.2070.0000.0840.1470.0040.0480.0000.0000.2230.0390.0330.0430.1060.0420.0750.3130.3340.1530.0000.0510.3180.2540.4510.0610.0020.2060.0960.2050.2130.0100.0710.2710.1870.0950.0210.0930.1180.0900.0490.0000.1130.0250.1150.0100.0790.0280.0000.0560.1820.0000.2140.1030.0000.0140.0790.0890.0500.0790.0000.0000.0000.0000.0000.0740.0720.0000.0000.0000.0000.0650.0410.0260.0360.1410.1090.0300.0660.0780.1600.0700.0660.1370.0000.0330.7360.0940.1071.0000.0400.3020.5920.1230.1680.0580.0420.1440.0760.0550.4080.1370.0810.0000.0680.0610.2720.121
Your messages : read instant messages (D)0.0270.0000.1660.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1860.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0560.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0200.0000.0000.0000.0000.0000.0030.0000.0000.0160.0010.0000.0000.0350.0660.0130.0000.0000.1250.0190.0180.0120.0000.0350.0000.0000.0000.0000.0000.0030.0630.0000.0000.0000.0230.0000.0000.0000.0280.0000.0220.0000.0000.0000.0000.0000.0130.0000.0110.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0450.0000.0280.0000.0170.0000.0000.0000.0000.0000.0000.0000.2020.3070.0401.0000.1730.0660.0000.0000.0000.0000.0000.0250.0070.0370.0230.1060.0000.0000.0280.0160.099
Your messages : receive MMS (D)0.1730.0110.3030.0000.0050.0000.0000.0000.3170.0000.0000.0000.0000.0000.0070.0000.0000.0000.0340.0000.0000.1460.0000.0210.0000.0190.0000.0000.0000.0000.0000.0000.0000.0000.0640.0800.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0790.0000.0650.0290.0000.0000.0000.0000.0410.0120.0000.0310.0450.0390.0290.0950.1730.0790.0000.0370.1820.1030.2290.0480.0190.0840.0440.0550.1620.0000.0200.1770.0800.0000.0000.0000.0700.0600.0220.0000.0870.0000.1040.0000.0410.0060.0000.0190.0830.0000.0100.0450.0000.0000.0000.0990.0000.0480.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1390.0220.0000.0100.0030.0180.0380.0360.0000.0000.0000.2970.0370.0830.3020.1731.0000.3850.6030.1180.0750.0010.0300.0120.0130.1430.1150.0170.0000.0000.0110.1380.016
Your messages : receive SMS (D)0.2550.0000.6290.0250.0030.0310.0000.0000.1220.0000.0000.0000.0000.0000.0000.0210.0000.0000.0190.0000.0310.0680.0230.0000.0000.0620.0250.0380.0000.0110.0090.0240.0200.0000.1240.0920.0000.0000.0000.0000.2510.0000.0030.0030.0000.0000.0090.0000.0000.0340.0470.0000.3570.0060.1440.2490.1080.0520.0000.0000.2430.0500.0000.0970.1220.0860.0700.1730.1840.1800.0000.0350.3670.2200.4450.1110.0000.2210.0980.2170.2270.0180.0310.3020.0520.0990.0000.0830.1120.0690.0260.0000.1270.0290.1640.0070.1570.0590.0000.0200.1920.0000.1960.0770.0000.0000.0340.0980.0440.1650.0000.0000.0000.0000.0000.0660.0480.0000.0000.0000.0000.0570.1300.0410.0000.1800.1470.0160.0670.0470.2880.1460.1590.1380.0000.0000.5420.0110.0430.5920.0660.3851.0000.2420.1370.0270.0390.0750.0280.0320.4420.1290.0660.0000.0310.0250.3190.103
Your messages : receive WAP (D)0.1340.0100.2400.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0150.0000.0000.0000.0000.0000.0000.0000.0000.0350.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0850.0820.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0110.0000.0170.0000.0080.0000.0000.0000.0470.0190.0000.0000.0230.0360.0000.0730.1370.0550.0000.0260.0990.0220.0940.0350.0190.0240.0620.0770.0810.0000.0350.1290.0690.0000.0000.0000.0200.0000.0370.0000.0880.0040.0730.0000.0860.0410.0000.0320.0300.0000.0000.0000.0000.0030.0000.1110.0000.0890.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0000.0000.1190.0120.0000.0100.0000.0320.0560.0530.0000.0000.0000.0930.0000.0060.1230.0000.6030.2421.0000.0000.0220.0000.0000.0000.0230.0370.0460.0000.0000.0000.0000.0440.000
Your messages : send SMS-received broadcast (S)0.0840.0000.1380.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0290.0000.0330.0000.0000.0000.0000.0000.0000.0000.0000.0000.0410.0000.0000.0210.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0420.0000.0030.0000.0000.0000.0010.0090.0000.0440.0250.0120.0000.0530.0470.0320.0000.0260.1270.0390.1480.0280.0060.0720.0000.0360.0380.0000.0000.0560.0230.0000.0230.0000.0340.0000.0000.0000.0270.0000.0440.0000.0000.0000.0000.0000.0140.0000.0000.0840.0000.0000.0000.0510.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0560.0410.0000.0080.0000.0000.0000.0000.0000.0000.0000.1680.0000.0000.1680.0000.1180.1370.0001.0000.0320.0000.0000.0040.0000.0830.0480.0000.0000.0000.0000.0620.000
Your messages : send WAP-PUSH-received broadcast (S)0.0330.0000.0550.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0720.0000.0000.0000.0000.0000.0000.0790.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0500.0020.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0190.0060.0000.0470.0510.0030.0000.0100.0650.0130.0250.0080.0000.0110.0030.0000.0490.0000.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0210.0000.0130.0000.0000.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0570.0530.0260.0580.0000.0750.0270.0220.0321.0000.0000.0000.0000.0030.0270.0170.0000.0000.0000.0010.0330.000
Your personal information : add or modify calendar events and send email to guests (D)0.1200.0250.2800.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0160.0240.0050.0000.0000.0000.0130.0000.0000.0000.0310.0160.0000.0000.0000.0000.0270.0000.0000.0000.0000.0050.0090.0000.0000.0000.0000.0000.0000.0120.0000.0120.0000.0040.0400.0960.0010.0180.0000.0160.0000.0080.0420.0000.0400.0360.0630.0560.0000.0060.0660.0000.0370.1310.1610.0250.0780.0000.1290.0060.0360.0050.0000.0240.0140.0000.0000.0000.1360.0610.0640.0000.0000.0230.0420.0880.0170.1090.0700.0000.0000.0110.0000.0000.0150.0000.0050.0000.0060.0770.1110.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0790.0590.0000.1130.1310.0000.0480.0310.0000.1150.1260.0220.0470.0000.0570.0000.0000.0420.0000.0010.0390.0000.0000.0001.0000.0000.0290.8550.1110.0420.0460.0630.0000.0320.1170.102
Your personal information : choose widgets (S)0.0950.0030.1790.0000.0150.0000.0000.0000.0510.0000.0770.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.0000.0000.0000.0000.0250.0000.0000.0000.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0770.0000.0000.0000.0000.0000.0000.0670.0000.0000.2200.0000.0000.1100.0000.0000.0000.0450.0060.0580.0000.0190.0150.0000.0100.3490.1240.0090.0300.0000.0220.1410.1020.0230.0000.0000.0320.0000.5560.0610.0000.1850.2960.0050.0000.1610.0000.0000.0000.0180.0000.0000.0000.1350.0000.0000.3250.0000.1730.5930.0040.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.0210.0060.0000.0000.0160.0000.0130.0150.0000.0000.0000.0350.1160.0810.1440.0000.0300.0750.0000.0000.0000.0001.0000.0740.0580.1190.0070.0000.0000.0000.0190.0440.000
Your personal information : read Browser's history and bookmarks (D)0.1270.0790.2470.0000.0180.0140.0000.0000.0000.0420.0190.0250.0530.0420.0220.0000.0000.0080.0130.0000.0000.0000.0020.0000.0270.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0620.0000.0000.0000.0000.0000.0050.0000.0000.0000.0000.0000.0190.0000.0000.0000.0000.0000.2040.1730.0210.0150.0000.0000.0000.0370.0620.0000.0030.0950.1060.0450.0200.0320.1350.0000.0450.2330.0150.0000.0270.0000.2940.0570.0780.0040.0240.1630.0180.0000.0170.0120.1020.1010.0760.1040.0000.0800.0180.0260.0000.0800.0000.0000.0000.0610.0000.0080.1440.0000.0710.0450.0320.0480.0860.0000.0000.0000.0000.0000.0000.0200.0000.0000.0000.0000.0000.0000.0120.0000.0650.0470.0000.0160.0000.0000.1360.1470.0040.0000.0000.0800.0530.0420.0760.0250.0120.0280.0000.0040.0000.0290.0741.0000.0250.0660.0870.0500.0000.0000.9100.0790.096
Your personal information : read calendar events (D)0.1510.0270.2480.0000.0000.0000.0000.0000.0000.0000.0230.0000.0000.0000.0000.0000.0000.0000.0000.0150.0230.0040.0000.0000.0000.0120.0000.0000.0000.0390.0150.0000.0000.0000.0000.0300.0000.0000.0000.0000.0000.0080.0000.0000.0000.0000.0000.0230.0110.0000.0110.0000.0050.0080.0900.0000.0000.0000.0150.0000.0200.0270.0000.0260.0230.0500.0230.0040.0180.0570.0000.0350.1240.1680.0320.0770.0000.1270.0250.0170.0000.0000.0000.0050.0000.0110.0000.0160.0250.0710.0000.0000.0160.0200.0820.0160.0680.0670.0000.0000.0000.0000.0080.0250.0060.0000.0300.0050.0060.0690.0000.0170.0000.0000.0170.0000.0250.0000.0000.0000.0000.0000.0750.0570.0000.0960.0870.0000.0530.0460.0020.1030.1120.0220.0450.0000.0410.0330.0500.0550.0070.0130.0320.0230.0000.0030.8550.0580.0251.0000.1260.0170.0000.0610.0000.0000.1190.000
Your personal information : read contact data (D)0.3390.0170.6210.0100.0290.0130.0000.0370.0670.0180.0060.0370.0000.0180.0000.0320.0000.0020.0000.0000.0470.0370.0800.0000.0100.1420.0620.0340.0000.0070.0000.0000.0080.0000.0710.0790.0000.0000.0000.0290.1480.0350.0320.0000.0000.0000.0000.0060.0000.0180.0260.0210.3110.0500.1970.2300.1510.0320.0000.0420.1830.0940.0450.1410.1680.1190.0880.2880.2530.2360.0780.0760.3990.3340.3800.1770.0100.1880.0830.1950.1540.0200.0400.2440.1080.1140.0000.0610.1160.1120.0220.0000.2130.0530.1730.0420.1930.1230.0000.0400.1590.0000.1330.0850.0060.0000.0710.0430.0610.1930.0290.0320.0000.0270.0320.0370.0760.0320.0000.0000.0370.0570.1990.0570.0240.2960.2190.0620.1330.0890.1960.1630.1890.1290.0180.0240.3450.0580.0740.4080.0370.1430.4420.0370.0830.0270.1110.1190.0660.1261.0000.1490.1090.0190.0260.0180.6310.117
Your personal information : read sensitive log data (D)0.1870.0410.3550.0150.0330.0240.0000.0000.1100.0000.0000.0000.0000.0000.0090.0800.0000.0060.0110.0000.0000.0620.0180.0000.0330.0430.0140.0390.0030.0130.0000.0000.0230.0000.0680.1140.0000.0000.0110.0000.0520.0000.0450.0000.0000.0000.0000.0000.0000.0000.0000.0000.1220.0250.1020.1000.0560.0000.0000.0830.1020.0660.0330.0490.1390.1030.0870.1180.1300.1460.0990.0590.2780.0940.0860.1360.0260.1330.0530.1230.1150.0060.0920.1580.1170.0180.0620.0930.1650.0490.1080.0070.1470.0770.1360.0100.1480.0560.1040.1150.1610.0000.0730.0790.0000.0420.0000.0710.0430.1520.0000.0000.0000.0000.0000.0000.0810.0000.0000.0000.0000.0000.1050.0020.0000.1510.1070.0000.0660.0090.0020.0460.0480.0000.0330.0000.1350.0250.0310.1370.0230.1150.1290.0460.0480.0170.0420.0070.0870.0170.1491.0000.0450.1390.0000.0810.1590.087
Your personal information : read user defined dictionary (D)0.1180.0070.2330.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0650.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0310.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0540.0350.0570.1040.0060.0000.0000.0000.0270.0130.0000.0310.0110.0000.0730.0070.0190.0090.0000.0200.1430.0130.0310.0190.0000.0230.0370.0000.0000.0000.0960.0640.0080.0000.0000.0000.0390.0840.0000.0000.0570.0000.0130.0000.0470.0000.0000.0000.0390.0000.0000.0000.0000.0000.0000.0000.0000.0490.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0950.0000.0380.0420.0000.0000.0000.0220.0070.0170.0000.0000.0000.0890.0710.0340.0810.1060.0170.0660.0000.0000.0000.0460.0000.0500.0000.1090.0451.0000.0000.0000.0560.0410.837
Your personal information : retrieve system internal state (S)0.0670.0000.0910.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.3260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1540.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0000.0050.0120.0000.0000.0000.0230.0000.0090.2200.0000.0000.0000.0000.0570.0000.0000.0000.0060.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0530.0000.0040.0000.0760.1250.6870.0000.0000.0000.1080.0000.0000.0000.0000.0000.0000.0790.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0910.0000.0000.0310.0680.0000.0000.0000.0000.0040.0050.0000.2470.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0630.0000.0000.0610.0190.1390.0001.0000.0000.0000.0340.000
Your personal information : set alarm in alarm clock (S)0.0370.0000.0670.0000.0000.0000.0000.3230.0000.0000.0000.3230.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0250.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0000.0000.0000.0830.0000.0000.0000.0300.0000.0140.0330.0000.0000.0000.0000.0000.0000.0000.0000.0170.0110.0000.0000.0000.0090.0000.0000.1240.0270.0570.0000.0000.0050.0000.0510.0270.0000.0000.0000.0030.0140.0000.0000.0000.0000.0000.0000.0240.0000.0000.0000.0400.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.2940.0110.0360.0940.0330.0600.0000.0150.0050.0000.0000.2000.0870.0000.0000.0680.0000.0000.0310.0000.0000.0000.0000.0000.0000.0000.0260.0000.0000.0001.0000.0000.0000.000
Your personal information : write Browser's history and bookmarks (D)0.1180.0870.2370.0000.0100.0160.0000.0000.0000.0000.0210.0000.0590.0000.0250.0000.0000.0100.0150.0000.0000.0000.0000.0000.0310.0000.0000.0000.0000.0000.0000.0000.0000.0000.0030.0510.0000.0000.0000.0000.0000.0070.0000.0000.0000.0000.0000.0210.0000.0000.0000.0000.0000.1470.1700.0210.0230.0000.0000.0000.0220.0600.0000.0000.0750.1020.0400.0110.0260.1460.0000.0350.2140.0000.0000.0050.0000.3170.0370.0310.0000.0170.1790.0180.0000.0010.0000.1120.0800.0350.1210.0000.0510.0200.0050.0000.0840.0000.0000.0000.0590.0000.0060.0980.0000.0640.0120.0150.0540.0910.0000.0000.0000.0000.0000.0000.0230.0000.0000.0000.0000.0000.0000.0000.0000.0620.0440.0000.0000.0000.0000.1330.1410.0100.0000.0000.0800.0590.0330.0610.0280.0110.0250.0000.0000.0010.0320.0190.9100.0000.0180.0810.0560.0000.0001.0000.0410.106
Your personal information : write contact data (D)0.2630.0140.5600.0200.0000.0070.0000.0160.0840.0000.0120.0000.0000.0000.0030.0330.0000.0000.0060.0180.0240.0580.1100.0000.0230.1310.0790.0260.0000.0000.0070.0010.0160.0000.0480.0810.0000.0000.0000.0490.0430.0000.0190.0000.0000.0000.0070.0120.0000.0290.0400.0000.2850.0470.1660.1920.1500.0000.0000.0300.0820.0820.0360.1110.0980.0930.1070.3380.3230.1750.0000.0560.3430.2900.2470.1450.0000.1220.0380.1120.0760.0310.0680.1900.1440.0660.0000.0780.1090.1240.0410.0000.2330.0510.1160.0370.2470.1340.0000.0610.0770.0000.0460.0660.0000.0090.0320.0610.0720.2600.0360.0000.0000.0450.0000.0570.1100.0490.0000.0000.0000.0050.2640.0410.0000.2930.2650.0550.1190.0550.1260.1260.1400.0580.0230.0150.2190.0540.0250.2720.0160.1380.3190.0440.0620.0330.1170.0440.0790.1190.6310.1590.0410.0340.0000.0411.0000.073
Your personal information : write to user defined dictionary (S)0.1050.0000.4260.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0610.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0500.0390.0630.0840.0070.0000.0000.0000.0250.0000.0000.0620.0320.0110.0680.0060.0180.0220.0000.0270.2560.0110.0290.0100.0000.0440.0340.0310.0000.0000.0900.1110.0070.0020.0000.2980.0820.0790.0040.0000.0870.0590.0100.0100.1230.0000.0000.0000.0670.0000.0000.0000.0000.0000.0000.0000.1910.1190.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0900.0000.0670.1030.0000.0000.0000.0200.0250.0330.0000.0000.0000.1410.0660.0320.1210.0990.0160.1030.0000.0000.0000.1020.0000.0960.0000.1170.0870.8370.0000.0000.1060.0731.000

Missing values

2025-08-13T19:31:35.125052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-08-13T19:31:36.374036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-08-13T19:31:37.406432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

AppPackageCategoryDescriptionRatingNumber of ratingsPriceRelated appsDangerous permissions countSafe permissions countDefault : Access DRM content. (S)Default : Access Email provider data (S)Default : Access all system downloads (S)Default : Access download manager. (S)Default : Advanced download manager functions. (S)Default : Audio File Access (S)Default : Install DRM content. (S)Default : Modify Google service configuration (S)Default : Modify Google settings (S)Default : Move application resources (S)Default : Read Google settings (S)Default : Send download notifications. (S)Default : Voice Search Shortcuts (S)Default : access SurfaceFlinger (S)Default : access checkin properties (S)Default : access the cache filesystem (S)Default : access to passwords for Google accounts (S)Default : act as an account authenticator (S)Default : bind to a wallpaper (S)Default : bind to an input method (S)Default : change screen orientation (S)Default : coarse (network-based) location (S)Default : control location update notifications (S)Default : control system backup and restore (S)Default : delete applications (S)Default : delete other applications' caches (S)Default : delete other applications' data (S)Default : directly call any phone numbers (S)Default : directly install applications (S)Default : disable or modify status bar (S)Default : discover known accounts (S)Default : display unauthorized windows (S)Default : enable or disable application components (S)Default : force application to close (S)Default : force device reboot (S)Default : full Internet access (S)Default : interact with a device admin (S)Default : manage application tokens (S)Default : mock location sources for testing (S)Default : modify battery statistics (S)Default : modify secure system settings (S)Default : modify the Google services map (S)Default : modify/delete USB storage contents modify/delete SD card contents (S)Default : monitor and control all application launching (S)Default : partial shutdown (S)Default : permanently disable device (S)Default : permission to install a location provider (S)Default : power device on or off (S)Default : press keys and control buttons (S)Default : prevent app switches (S)Default : read frame buffer (S)Default : read instant messages (S)Default : read phone state and identity (S)Default : record what you type and actions you take (S)Default : reset system to factory defaults (S)Default : run in factory test mode (S)Default : set time (S)Default : set wallpaper size hints (S)Default : start IM service (S)Default : update component usage statistics (S)Default : write contact data (S)Default : write instant messages (S)Development tools : enable application debugging (D)Development tools : limit number of running processes (D)Development tools : make all background applications close (D)Development tools : send Linux signals to applications (D)Hardware controls : change your audio settings (D)Hardware controls : control flashlight (S)Hardware controls : control vibrator (S)Hardware controls : record audio (D)Hardware controls : take pictures and videos (D)Hardware controls : test hardware (S)Network communication : Broadcast data messages to applications. (S)Network communication : control Near Field Communication (D)Network communication : create Bluetooth connections (D)Network communication : download files without notification (S)Network communication : full Internet access (D)Network communication : make/receive Internet calls (D)Network communication : receive data from Internet (S)Network communication : view Wi-Fi state (S)Network communication : view network state (S)Phone calls : intercept outgoing calls (D)Phone calls : modify phone state (S)Phone calls : read phone state and identity (D)Services that cost you money : directly call phone numbers (D)Services that cost you money : send SMS messages (D)Storage : modify/delete USB storage contents modify/delete SD card contents (D)System tools : allow Wi-Fi Multicast reception (D)System tools : automatically start at boot (S)System tools : bluetooth administration (D)System tools : change Wi-Fi state (D)System tools : change background data usage setting (S)System tools : change network connectivity (D)System tools : change your UI settings (D)System tools : delete all application cache data (D)System tools : disable keylock (D)System tools : display system-level alerts (D)System tools : expand/collapse status bar (S)System tools : force stop other applications (S)System tools : format external storage (D)System tools : kill background processes (S)System tools : make application always run (D)System tools : measure application storage space (S)System tools : modify global animation speed (D)System tools : modify global system settings (D)System tools : mount and unmount filesystems (D)System tools : prevent device from sleeping (D)System tools : read subscribed feeds (S)System tools : read sync settings (S)System tools : read sync statistics (S)System tools : read/write to resources owned by diag (S)System tools : reorder running applications (D)System tools : retrieve running applications (D)System tools : send package removed broadcast (S)System tools : send sticky broadcast (S)System tools : set preferred applications (S)System tools : set time zone (D)System tools : set wallpaper (S)System tools : set wallpaper size hints (S)System tools : write Access Point Name settings (D)System tools : write subscribed feeds (D)System tools : write sync settings (D)Your accounts : Blogger (D)Your accounts : Google App Engine (D)Your accounts : Google Docs (D)Your accounts : Google Finance (D)Your accounts : Google Maps (D)Your accounts : Google Spreadsheets (D)Your accounts : Google Voice (D)Your accounts : Google mail (D)Your accounts : Picasa Web Albums (D)Your accounts : YouTube (D)Your accounts : YouTube usernames (D)Your accounts : access all Google services (S)Your accounts : access other Google services (D)Your accounts : act as an account authenticator (D)Your accounts : act as the AccountManagerService (S)Your accounts : contacts data in Google accounts (D)Your accounts : discover known accounts (S)Your accounts : manage the accounts list (D)Your accounts : read Google service configuration (S)Your accounts : use the authentication credentials of an account (D)Your accounts : view configured accounts (S)Your location : access extra location provider commands (S)Your location : coarse (network-based) location (D)Your location : fine (GPS) location (D)Your location : mock location sources for testing (D)Your messages : Read Email attachments (D)Your messages : Send Gmail (S)Your messages : edit SMS or MMS (D)Your messages : modify Gmail (D)Your messages : read Gmail (D)Your messages : read Gmail attachment previews (D)Your messages : read SMS or MMS (D)Your messages : read instant messages (D)Your messages : receive MMS (D)Your messages : receive SMS (D)Your messages : receive WAP (D)Your messages : send SMS-received broadcast (S)Your messages : send WAP-PUSH-received broadcast (S)Your messages : write instant messages (D)Your personal information : add or modify calendar events and send email to guests (D)Your personal information : choose widgets (S)Your personal information : read Browser's history and bookmarks (D)Your personal information : read calendar events (D)Your personal information : read contact data (D)Your personal information : read sensitive log data (D)Your personal information : read user defined dictionary (D)Your personal information : retrieve system internal state (S)Your personal information : set alarm in alarm clock (S)Your personal information : write Browser's history and bookmarks (D)Your personal information : write contact data (D)Your personal information : write to user defined dictionary (S)Class
0Canada Post Corporationcom.canadapost.androidBusinessCanada Post Mobile App gives you access to some of the the most popular tools on <a href="http://www.google.com/url?q=http://canadapost.ca&usg=AFQjCNGLsUtAzxPlFZBfYYGjv6mnRiMZJw" target="_blank">canadapost.ca</a>. You can now Find a Postal Code, create your own personalized stamps and postcards with Picture Postage, Track a Package and Find a Post Office anywhere in Canada.<p>Now introducing Picture Postage Postcard!<p>Turn your photos into printed postcards???with delivery anywhere in the world for just $2.45 per card! Take a photo or select one from your camera roll, choose the recipient(s) from your contacts list and write your personal message. We???ll print, stamp and mail the postcard to each person on your list!<p>Use Picture Postage to create a personalized stamp for your letters and invitations. Get started by taking a picture with your device, or access any photos that you have stored on your camera roll!<p>Use Find a Postal code for any address in Canada.<p>Use Track a Package to track and check the status of your items. You can give the item a name and save it in the app (e.g., Mom???s package), so you can easily keep track of it until it is delivered.<p>Use Find a Post Office to locate the nearest Canada Post retail outlets, based on your GPS coordinates or an address that you enter.3.1770.00{com.adaffix.pub.ca.android, com.kevinquan.gasup, com.boxedinsoftware.ttcalert, com.svox.classic.langpack.fra_can_fem}7.01000000000000000000000000000000000000000000000000000000000000000000000000000010001000101000000000000000000100000000000000000000000000000000000000010000000000000000000100000100
1Word Farmcom.realcasualgames.wordsBrain & PuzzleSpeed and strategy combine in this exciting word search against the clock!<p>Speed and strategy combine to create an exciting, fast-paced word game sure to keep you busy with your friends for hours! Word Farm challenges you to find as many words as you can before the sun sets on the farm.<p>UPGRADABLE POWER-UPS<br>13 power-ups to help increase your scores and beat your friends, including ways to extend your games, find longer words, and much more! Keep upgrading your bonuses for even more power. Earn even more points with special letter types like bombs and extra time letters.<p>UNLIMITED REPLAY<br>Each game has a unique game board leading to an infinite combination of games! The average Word Farm board has over 700 words on it, with some as long as 15 letters! Word Farm uses the TWL06 dictionary, so Scrabble and Words With Friends players can sharpen their skills.<p>SECRET WORDS AND CHALLENGES<br>Word Farm features well over 60 challenges to earn you respect and bonuses. See if you can unlock them all! Hundreds of hidden words offering bonuses and extra points keep you guessing!<p>CHALLENGE YOUR FRIENDS<br>Taunt your friends by posting your scores and finds to Facebook. Compare your scores on a weekly basis with your friends and the rest of the world!<p>BEAUTIFUL AND ENGAGING<br>Word Farm is optimized for and tested on each device we support. Smooth graphics and engaging sounds and imagery make for a beautiful and engaging experience.<p>If you are a player of games like DropWords or TextTwist, you will love Word Farm!<p>------------------<br>DOWNLOAD PROBLEMS:<br>If you are having trouble downloading, please follow Google???s official directions at <a href="http://www.google.com/url?q=http://www.google.com/support/androidmarket/developer/bin/answer.py?hl%3Den%26answer%3D1067233&usg=AFQjCNHhLckB_dckLKRrfAvfAkH3dXcGbQ" target="_blank">http://www.google.com/support/androidmarket/developer/bin/answer.py?hl=en&answer=1067233</a><br>------------------<br>PERMISSIONS:<br>This app requires the following permissions for the following reasons:<br>Internet Access - Submit scores and read high score lists<br>Get Accounts - Allow you to select an account to play Word Farm with. This information is not used for any other purpose and is never transferred to any third parties.<br>Billing - Support for in-app purchases of tokens and bonuses.<br>------------------4.31990.00{air.com.zubawing.FastWordLite, com.joybits.doodlefarm, com.joybits.doodledevil_pay, touchy.words}3.02000000000000000000000000000000000000000000000000000000000000000000000000000010001001001000000000000000000000000000000000000000000000000000100000000000000000000000000000000000
2Fortunes of War FREEfortunesofwar.freeCards & CasinoFortunes of War is a fast-paced, easy to learn, and challenging card game!<p>This is the premier fantasy card game for Android, created in the spirit of other wildly popular trading card games such as Magic the Gathering, Dominion, Yu-Gi-Oh, and Pokemon!<p>Fortunes of War is a uniquely fast-paced, easy to learn, and strategically challenging game offering many modes such as single player campaign, quick AI matches, ranked multiplayer games, achievements, tournaments and more!<p>You begin with a small deck of Fortune Cards that represent power, wealth and ability. Players take turns drawing a hand from their deck, playing their Fortune Cards, and purchasing new cards from The Card Market. You grow more powerful over the course of the battle with each Fortune Card gained. The key to victory comes in developing a strategy to build up your deck's Victory Points, while at the same time countering your opponent's strategy!<p>In Conquest Mode you are The Conqueror: A powerful warlord bent on world domination. Your secret weapon is the guidance of an enslaved fortune teller named Hagar, who has shown you the path to victory with his mystical visions. Follow his wisdom as you battle your way through the non-linear campaign ??? challenge the powerful Moon Elves, sly Humans, and vicious Orcs!<p>Recent Additions<br>* Playable step-by-step tutorial<br>* UI improvements and optimizations<br>* Disable &quot;pop-up&quot; cards option<br>* Join the ranked multiplayer queue!<br>* Create a private game for friendly play!<br>* Create a profile that tracks wins/played, rating, achievements and more!<br>* 1500 point-based rating system with Leaderboard.<br>* Over 120 Achievements!<br>* AI substitution for inactive players.<br>* AI substitution for long queue times.<p>FORUMS: <a href="http://www.google.com/url?q=http://www.WhalesongGames.com&usg=AFQjCNHGlL5iZ4gzsSBbhMrH02_geSFyjw" target="_blank">www.WhalesongGames.com</a>4.12430.00{com.kevinquan.condado, hu.monsta.pazaak, net.mpowers.brigade.android, com.sergiandreplace.mtgpedia}1.01000000000000000000000000000000000000000000000000000000000000000000000000000010001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
3Better Keyboard: Avatar Purplecom.cc.betterkeyboard.skins.avatarpurpleLibraries & DemoSkin for Better Keyboard featuring a glossy feel.<p>You must download app &quot;Better Keyboard&quot; to apply, this addon is free but &quot;Better Keyboard&quot; is $2.99 <p>Don't rate low if you don't have better keyboard, don't be a troll.3.625890.00{eu.gdumoulin.betterandroid.skins.transparent.purple, eu.gdumoulin.betterandroid.skins.transparent.magenta, eu.gdumoulin.betterandroid.skins.transparent.hotpink, eu.gdumoulin.betterandroid.skins.transparent.cyan}0.00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
4Boxing DayindiaNIC.android.BoxingDayLifestyleBoxing Day by Christopher Jaymes<p>Based on a true story surrounding the 2004 tsunami, we follow author Chris Jaymes as he accidentally exchanged his would-be vacation in for a six-week stint as an aid worker in one of the world???s most tragic disasters0.005.99NaN1.00000000000000000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001
5Ms Claus Live Wallpapertmc.christmaslady.livewallpaperPersonalizationMs Claus Live Wallpaper<p>Find more Free apps in settings!!!!!!!!!!<p>To use this app press: Home --&gt; Menu --&gt; Wallpapers --&gt; Live Wallpapers --&gt; Ms Claus Live Wallpaper<p>Change Framerate by going to Settings. Speed up or slow down to your preference. <p><br>Please email me if you have any questions, suggestions, or issue's.<p>Compatible with 7 inch Tablets i.e Samsung Tab<p>TAGS: Droid, Android, Wallpaper, Sports, Themes, Custom, Widgets, christmas, xmas, santa, holidays, gifts, nfl, thanksgiving, winter4.5160.00{tmc.christmassanta.livewallpaper, tmc.winterhouse.livewallpaper, tmc.xrayandroid.livewallpaper, tmc.eiffel.livewallpaper}3.01000000000000000000000000000000000000000000000000000000000000000000000000000010001000001000000000000000001000000000000000000000000000000000000000000000000000000000000000000000
6Solitaire-Spider-Freecellru.uralgames.solitaire.androidCards & CasinoThis solitaire game includes three classic games:<br>Klondike, Freecell, and Spider.<p>ENJOY THE GAME<br>-Open and Play - don't waste your time in menus <br>-Three scoring systems: Free, Standart and Vegas <br>-Drag cards with you finger <br>-Undo and Redo when you wish <br>-Auto Collect supported <br>-Track you progress on the Statistic Screen<br>-Auto save on exit <br>-Ability Jedi<p>ENJOY THE VISUALS<br>-Choose Landscape or Portrait mode <br>-Animated cards4.44830.00{ro.lasting.android.solitaire.solvable, solitairepackpro.solitaire, com.karvitech.solitaireFree, com.brasskeysoftware.yukongolddemo}1.01000000000000000000000000000000000000000000000000000000000000000000000000000010001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
7Pumpkins vs. Monsterscom.RunnerGames.game.PumpkinsVsMonster_ADArcade & ActionSimple control,flick the pumpkin, attack monster!<p>AndroidTapp.com Rating: ???????????????(4.85 out of 5)<br>Recommended for fans of Bejeweled???Plants vs. Zombies!<p>In the darkness midnight, the monsters revived. They are gonging to invade people's home .The world will not peace anymore. <br>But our people are still in their sweet dream, no one knows the dangerous. <br>At this time, the pumpkin hero appeared, they work together to protect people's house, use they bodies to attack the monsters.<br>The incomparable new mode will bring you very different new experience.<p>FEATURES:<br>- Action & Match 3 & defensive type of game perfect combination <br>- Simple control,flick the pumpkin, attack monster <br>- story mode, up to 90 Levels<br>- 6 different worlds<br>- Endless mode, guarantees you many long hours of fun<br>- 6 different attributes of pumpkins<br>- Shop System<p>Remark: <br>Using more props will help you pass the level more quickly<p>If you like this game, please let your friends know.<br>Also try some of our other free games, including &quot;Yoo Ninja&quot; and &quot;Jewels Deluxe&quot;.<p>Join us facebook:<br><a href="http://www.google.com/url?q=http://www.facebook.com/runnergames&usg=AFQjCNE9A5rs1yfcel61tHo-xrRfhorQbg" target="_blank">http://www.facebook.com/runnergames</a><br>Youtube:<br><a href="http://www.google.com/url?q=http://www.youtube.com/watch?v%3D0dFodc4qr2k&usg=AFQjCNGNF1MyKbwJpyZ7TFJHApWSLhUUqg" target="_blank">http://www.youtube.com/watch?v=0dFodc4qr2k</a>4.7629440.00{com.rainbow.Dino2, com.rpg90.pwjz, com.sillycube.android.popieslite, com.alkilabs.hauntedcarnival}1.02000000000000000000000000000000000000000000000000000000000000000000001000000010001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
8Cats Puzzlecoder.hamster.jpall.catsBrain & PuzzleJigsaw puzzle game with the cats.<p>Solve broken pictures.<br>Only easy levels.<p>+Live Wallpaper &quot;Morph Cats&quot;4.3180.00{coder.hamster.jpall.supercars, com.hivong.puzzlebox.snake, com.livewallpapers.star3d, com.oslwp.cheguevara}2.00000000000000000000000000000000000000000000000000000000000000000000000000000010000000001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
9Paranormal Agencycom.g5e.paranormalBrain & PuzzleUse your ESP to rid the city of evil spirits in this eerie Hidden Object game!<p>&quot;Like&quot; us on Facebook! <a href="http://www.google.com/url?q=http://www.facebook.com/G5games&usg=AFQjCNHXHT7qA_ntwWIHrkDMcyyt9_BSwg" target="_blank">www.facebook.com/G5games</a><br>Sign up for our mailing list! <a href="http://www.google.com/url?q=http://www.g5e.com/e-mail&usg=AFQjCNFPJ1WG5lFdSCTvP-tiHD78EWxtYA" target="_blank">www.g5e.com/e-mail</a><br>Get the Games Navigator <a href="http://www.google.com/url?q=http://www.g5e.com/agn&usg=AFQjCNH2rhaEeiAGyBry7WoSNKAxysJp3A" target="_blank">www.g5e.com/agn</a><p>Detective Heather Mills has the amazing ability to see ghosts and other mysterious entities that are not visible to other people. When spooky ghosts and weird creatures start showing up in local homes, it's up to Heather and her agency to get to the bottom of this macabre mystery and look for reasons behind recent poltergeist attacks on innocent citizens. Help Heather hunt for hidden items in locations all over the city and find out who is behind the attacks.<br>??? More Than 50 Challenging Levels <br>??? Five Different Types of Hidden Object Challenges <br>??? Seven Unique Mini-Games <br>??? Original Storyline<br>??? Nearly Endless Hidden Object Fun <br>____________________________<p>Collect all G5 games! Search for &quot;g5&quot; in Android Market!<p>Hidden Object Games: <p>??? Games Navigator ??? By G5 Games<br>??? Special Enquiry Detail<br>??? The Mystery of the Crystal Portal<br>??? Mahjongg Artifacts?? 2<br>??? Mahjongg Artifacts?? <p>Time Management Games: <p>??? Virtual City Playground<br>??? Stand O???Food??3<br>??? Virtual City??<br>??? Supermarket Mania ?? 2<br>??? Supermarket Mania?? <br>??? Stand O???Food??<br>??? Supermarket Management<br>??? Success Story<br>____________________________<p>VISIT US: <a href="http://www.google.com/url?q=http://www.g5e.com&usg=AFQjCNHx8vdf2WHyKSDRqcHHricK5e1Eiw" target="_blank">www.g5e.com</a><br>WATCH US: <a href="http://www.google.com/url?q=http://www.youtube.com/g5enter&usg=AFQjCNEqPWpj4Ljjl4cS8nOxmHNG8Wd0TQ" target="_blank">www.youtube.com/g5enter</a><br>FOLLOW US: <a href="http://www.google.com/url?q=http://www.twitter.com/g5games&usg=AFQjCNHcEa6Y8QzHM2PD_N43BoLnpMtSyg" target="_blank">www.twitter.com/g5games</a><br>GAME FAQS: <a href="http://www.google.com/url?q=http://www.g5e.com/support_android&usg=AFQjCNEqHdw5y6OGHm_9KdhwnjMmEZJUTg" target="_blank">http://www.g5e.com/support_android</a>4.258690.00{com.firemaplegames.games.the_secretofgrislymanor, air.CityOfAtlantisMarketFree, air.LivingTheLifeMarketFree, demo.jekyllandhyde}3.01000000000000000000000000000000000000000000000000000000000000000000000000000010001000001000000000000000000010000000000000000000000000000000000000000000000000000000000000000000
AppPackageCategoryDescriptionRatingNumber of ratingsPriceRelated appsDangerous permissions countSafe permissions countDefault : Access DRM content. (S)Default : Access Email provider data (S)Default : Access all system downloads (S)Default : Access download manager. (S)Default : Advanced download manager functions. (S)Default : Audio File Access (S)Default : Install DRM content. (S)Default : Modify Google service configuration (S)Default : Modify Google settings (S)Default : Move application resources (S)Default : Read Google settings (S)Default : Send download notifications. (S)Default : Voice Search Shortcuts (S)Default : access SurfaceFlinger (S)Default : access checkin properties (S)Default : access the cache filesystem (S)Default : access to passwords for Google accounts (S)Default : act as an account authenticator (S)Default : bind to a wallpaper (S)Default : bind to an input method (S)Default : change screen orientation (S)Default : coarse (network-based) location (S)Default : control location update notifications (S)Default : control system backup and restore (S)Default : delete applications (S)Default : delete other applications' caches (S)Default : delete other applications' data (S)Default : directly call any phone numbers (S)Default : directly install applications (S)Default : disable or modify status bar (S)Default : discover known accounts (S)Default : display unauthorized windows (S)Default : enable or disable application components (S)Default : force application to close (S)Default : force device reboot (S)Default : full Internet access (S)Default : interact with a device admin (S)Default : manage application tokens (S)Default : mock location sources for testing (S)Default : modify battery statistics (S)Default : modify secure system settings (S)Default : modify the Google services map (S)Default : modify/delete USB storage contents modify/delete SD card contents (S)Default : monitor and control all application launching (S)Default : partial shutdown (S)Default : permanently disable device (S)Default : permission to install a location provider (S)Default : power device on or off (S)Default : press keys and control buttons (S)Default : prevent app switches (S)Default : read frame buffer (S)Default : read instant messages (S)Default : read phone state and identity (S)Default : record what you type and actions you take (S)Default : reset system to factory defaults (S)Default : run in factory test mode (S)Default : set time (S)Default : set wallpaper size hints (S)Default : start IM service (S)Default : update component usage statistics (S)Default : write contact data (S)Default : write instant messages (S)Development tools : enable application debugging (D)Development tools : limit number of running processes (D)Development tools : make all background applications close (D)Development tools : send Linux signals to applications (D)Hardware controls : change your audio settings (D)Hardware controls : control flashlight (S)Hardware controls : control vibrator (S)Hardware controls : record audio (D)Hardware controls : take pictures and videos (D)Hardware controls : test hardware (S)Network communication : Broadcast data messages to applications. (S)Network communication : control Near Field Communication (D)Network communication : create Bluetooth connections (D)Network communication : download files without notification (S)Network communication : full Internet access (D)Network communication : make/receive Internet calls (D)Network communication : receive data from Internet (S)Network communication : view Wi-Fi state (S)Network communication : view network state (S)Phone calls : intercept outgoing calls (D)Phone calls : modify phone state (S)Phone calls : read phone state and identity (D)Services that cost you money : directly call phone numbers (D)Services that cost you money : send SMS messages (D)Storage : modify/delete USB storage contents modify/delete SD card contents (D)System tools : allow Wi-Fi Multicast reception (D)System tools : automatically start at boot (S)System tools : bluetooth administration (D)System tools : change Wi-Fi state (D)System tools : change background data usage setting (S)System tools : change network connectivity (D)System tools : change your UI settings (D)System tools : delete all application cache data (D)System tools : disable keylock (D)System tools : display system-level alerts (D)System tools : expand/collapse status bar (S)System tools : force stop other applications (S)System tools : format external storage (D)System tools : kill background processes (S)System tools : make application always run (D)System tools : measure application storage space (S)System tools : modify global animation speed (D)System tools : modify global system settings (D)System tools : mount and unmount filesystems (D)System tools : prevent device from sleeping (D)System tools : read subscribed feeds (S)System tools : read sync settings (S)System tools : read sync statistics (S)System tools : read/write to resources owned by diag (S)System tools : reorder running applications (D)System tools : retrieve running applications (D)System tools : send package removed broadcast (S)System tools : send sticky broadcast (S)System tools : set preferred applications (S)System tools : set time zone (D)System tools : set wallpaper (S)System tools : set wallpaper size hints (S)System tools : write Access Point Name settings (D)System tools : write subscribed feeds (D)System tools : write sync settings (D)Your accounts : Blogger (D)Your accounts : Google App Engine (D)Your accounts : Google Docs (D)Your accounts : Google Finance (D)Your accounts : Google Maps (D)Your accounts : Google Spreadsheets (D)Your accounts : Google Voice (D)Your accounts : Google mail (D)Your accounts : Picasa Web Albums (D)Your accounts : YouTube (D)Your accounts : YouTube usernames (D)Your accounts : access all Google services (S)Your accounts : access other Google services (D)Your accounts : act as an account authenticator (D)Your accounts : act as the AccountManagerService (S)Your accounts : contacts data in Google accounts (D)Your accounts : discover known accounts (S)Your accounts : manage the accounts list (D)Your accounts : read Google service configuration (S)Your accounts : use the authentication credentials of an account (D)Your accounts : view configured accounts (S)Your location : access extra location provider commands (S)Your location : coarse (network-based) location (D)Your location : fine (GPS) location (D)Your location : mock location sources for testing (D)Your messages : Read Email attachments (D)Your messages : Send Gmail (S)Your messages : edit SMS or MMS (D)Your messages : modify Gmail (D)Your messages : read Gmail (D)Your messages : read Gmail attachment previews (D)Your messages : read SMS or MMS (D)Your messages : read instant messages (D)Your messages : receive MMS (D)Your messages : receive SMS (D)Your messages : receive WAP (D)Your messages : send SMS-received broadcast (S)Your messages : send WAP-PUSH-received broadcast (S)Your messages : write instant messages (D)Your personal information : add or modify calendar events and send email to guests (D)Your personal information : choose widgets (S)Your personal information : read Browser's history and bookmarks (D)Your personal information : read calendar events (D)Your personal information : read contact data (D)Your personal information : read sensitive log data (D)Your personal information : read user defined dictionary (D)Your personal information : retrieve system internal state (S)Your personal information : set alarm in alarm clock (S)Your personal information : write Browser's history and bookmarks (D)Your personal information : write contact data (D)Your personal information : write to user defined dictionary (S)Class
29989Dragon of the Three Kingdoms_Lcom.wagame.SpExSangoSPLiteArcade & ActionDragon of the Three Kingdoms (DOTK) is an Action RPG(arcade beatem up).<p>==Languages: <br>English , Chinese(????????????)<p>==Description: <br>In AD 225, a long war was happened in China. The commander-in-chief of SHU kingdom named Kong Ming order the first general Zhao Yun to Battle with Nanman Barbarians. Falling stones, rolling logs, poisonous springs, attacks of malaria are everywhere in Nanman. The king of Nanman named Meng Huo is so stronger and crueler than everyone. Can you help Zhao Yun to finish his impossible mission?<p><br>==Features:<br>-This title is an Action RPG(arcade beatem up).<br>-New boss characters just like Meng Huo, Lady Zhu Rong, Wu Tu Gu.<br>-New armies: Elephant warrior, Cane armor-clad soldier, Fire witches, poisonous snakes & wildest beasts.<br>-New riding system: you can ride the horse or elephant to fight to enemy.<br>-New magic system: by collecting a fixed amount of flags, you can push the FLAG/MAGIC icon button to clear full-screen enemies.<br>-New BAR system: when the green bar in the left up side fulled, you can push the FIRE icon button to launch a special powerful attack.<p><br>==How to play:<br>Dragon of the Three Kingdoms (DOTK) is an Action RPG(arcade beatem up). It is very easy to play for anyone. Use the touch control gamepad to move Zhao Yun, and push the SWORD icon button to fight with enemy or pick up items and flags. By collecting a fixed amount of flags, you can push the FLAG/MAGIC icon button to take a full-screen attack. When the green bar in the left up side fulled, you can push the FIRE icon button to launch a special powerful attack. Sometimes the FIRE icon button change into the HORSE icon button, it mean that you could ride the horse or elephant by your side immediately. When you are riding, you become more speedy and powerful.3.97280.00{yl.act, com.pip.androidnew, com.pip.android0, com.wsw.inte.game.sanguo.chibiwar2}2.01000000000000000000000000000000000000000000000000000000000000000000000000000010001001000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001
29990EonPhonecom.eonphone.sipCommunicationEon Phone clearest VOIP calls to the USA and Canada. Hear the difference<p>Need to unlimited minutes to the United States and Canada? Try Eon Phone. We provide inbound and outbound calls and can provide American or Canadian Area Codes. <p><a href="http://www.google.com/url?q=http://eonphone.com&usg=AFQjCNFnPOKAAKHrMYjJTwDjBhaXr1eZhQ" target="_blank">http://eonphone.com</a><p> * Problems with phone reception?<br> * Want add a phone line to your tablet?<br> * Carry two cell phones?<br> * Don't want a contract?<br> * Want to save money on calls to America/Canada?<p><br>Eon Phone's VoIP dual-line service uses smartphone data and Wi-Fi capabilities to separate business from personal calls. This is the best American/Canadian Phone Plan. <p><br>Eon Phone provides landline quality sound through VOIP over Wi-Fi, the privacy of an additional line anywhere with 4G/3G coverage and live customer service support.<p> <p>??? Unlimited calling to American and Canadian numbers. <p>??? Phone number receives inbound calls.<p>??? No need to purchase minutes, one flat rate<p>??? Instantaneous new number ordering process.<p>??? No extra charge to call Canada.<p>??? International customers can choose an American number to call the U.S. and Canada.<p>??? Live online customer support.<p>Problems? Contact us at <a href="mailto:support@eonphone.com" target="_blank">support@eonphone.com</a>.<br>Or call 630-922-5031.3.0470.00{com.mytunudialer.activity, cz.acrobits.softphone.vumber, cz.acrobits.softphone.gofone, com.telepo.mobile.android.telepo}11.01000000000000000000000000000000000000000000000000000000000000000000101110000010000101100000000001000000000010000000000000000000000000000000000000000000000000000000000100000101
29991Paid Taking Surveyscom.v1_4.B06F370884C1473445134E7C.comBusinessGet paid for your opinion by taking easy online surveys.<p>We have researched for you the Top Rated and legitimate online survey tools. <p>If you know how to use a computer or your smartphone and have a few minutes to spare in a day you are set to go.<p>Start today and get paid for your opinion.0.000.00{es.feliperipoll.android.inga, com.appmakr.app315961, com.inc.im.serptracker, com.absmallbusinessmarketing.askalawyer}3.01000000000000000000000000000000000000000000000000000000000000000000000000000010001001000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000
29992TeleNav GPS Navigatorcom.telenav.app.android.sprintTravel & LocalGet voice-guided GPS, maps, business listings and real-time traffic updates now!<p>Keep TeleNav GPS Navigator at your side all day to help you find new places, get to those places, and have a better experience at every step along the way. It???s faster, simpler, and gives you everything you need to get where you???re going in one convenient mobile app.<br>??? Multi-Routes: Choose from up to three suggested routes to your destination based on traffic, distance and estimated drive times. <br>??? Quick Search: Search over 22 millions of places and get user-generated ratings and reviews so you know what to do when you get there.<br>??? Live Traffic: Save yourself time with live traffic updates that automatically reroutes you around traffic jams or road congestion. <br>??? Voice Commands: Stay safe and keep your hands on the wheel with voice-activated commands.<p>TeleNav GPS Navigator is more than just GPS. Find out where you want to go, how to get there quickly, and what to do when you get there.<p>Find millions of places in an instant. Just tell it what you???re looking for. Or use auto fill to type in search requests faster. Browse movies, restaurant reviews and find the nearest ATMs and lowest-priced gas nearby. Call any business with a single tap of the finger. Get ratings and reviews for almost every place in town. You won???t believe how easy it can be to get so much information so quickly.<p>You???ll also get to any location faster. Choose from up to three suggested ways to your destination based on traffic, distance and estimated drive time. Know what the traffic is like and get instant alerts when new traffic jams pop up. Then reroute around them, or don???t. It???s all up to you. It???s like having your own personal traffic helicopter.<p>So there you have it. Quick. Easy. And all in one integrated application that talks to you with a real, pleasant human voice. TeleNav GPS Navigator. We???re taking search and navigation to a whole new level. Download today for FREE! Not compatible with tablets.4.126640.00{com.rocketouch.CRCKosher, com.cb.sfl, com.kosherNearMe, com.mmsmobile}15.07000000000000000000000000000000000000000100000001000000000000000000101100000010111001111010100001000000000010000000000000000000000000000000000000110000000000100000000100000101
29993FORUM CU Mobile DeposZipcom.Vertifi.DeposZip.P274074037FinanceMake check deposits to your FORUM Credit Union account from the convenience of your iPhone or Android. Using your built-in camera, you can send secure digital images of checks for deposit into your account.4.840.00{com.forumcu.cuonline, com.msi.bktest, com.quarkstudios.flatbranch, com.freemortgagebuddy}2.00000000000000000000000000000000000000000000000000000000000000000000000010000010000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001
29994Beechwood Hotelsmartstay.beechwoodTravel & LocalBeechwood is an Android hotel app for guests, designed to help them make the most of their stay at a particular hotel and city.<p>Download the free Beechwood Android app to explore the Beechwood Hotel and all it has to offer. Beechwood helps guests manage their stay at a hotel and find their way around the destination. Guests of the Beechwood Hotel can see images and videos of the hotel, learn about the hotel amenities, and read about upcoming events at the hotel or Worcester, MA. <p>Guests can also browse guest relations information and receive exclusive offers directly on their Android phone. Another great feature of Beechwood is the interactive map that serves as a city guide to help guests find the location of all the nearest restaurants, bars, shops, cultural venues, and must-see attractions. Hotels can connect with their mobile guests and supply them with useful information about their hotel and city without the help of a concierge. <p>Key Features of Beechwood App<br>??? View photos of Beechwood Hotel and around Worcester, MA<br>??? Contact hotel directly with single click email and dialing options. <br>??? Keep up to date with latest news and events at Beechwood Hotel and Worcester, MA guests can also follow hotel on Twitter<br>??? Interactive map allows users to find the location of the nearest shops, bars, medical centers, cultural venues, transport, restaurants, sports facilities<br>??? Users can view detailed information and read reviews on each place listed on the map by clicking on the icon <br>??? Access guest relations information anytime, anywhere <br>??? Guests can receive exclusive promotions directly to their Android phone<br>??? Send virtual postcards of the Beechwood Hotel to your friends and family5.020.00{com.bluewaterpages, com.travelconnection.luxury, ie.mtechsolutions, com.amersam.parking}3.01000000000000000000000000000001000000000000000000000000000000000000000000000010000000100000000000000000000000000000000000000000000000000000000000010000000000000000000000000001
29995ZDefense: Tower Defensemobi.zstudio.avi.fullArcade & ActionExplosive Tower Defense!<p>Top Tower Defense Game.<br>4.6 of 5 rating on Android Market! <p>Real comments:<br>Best of it's class! By R. Montalvo<br>Liked it more than I thought. By James Duckett <br>Finally a tower defense game that is actually intelligent.... Oh, and.... HARD. Beautiful classic arcade style graphics, interesting puzzles.. I like it so far. By Blake Davis<br>This us the only game that i find myself playing over and over again. It is so addicting. Get it now. Droid X By <br>Cantdrive55<p><br>FEATURES<br>Easy to Play, but Very Tough to Master!<br>No paths... build a maze of towers!<br>Tutorial Screens as you go, shows you how to play (but not all the secrets!)<br>5 tower types with 7 levels each<br>65 levels, each its own puzzle with its own rules.<br>Auto-saves game if you press Home or are interrupted by a call<br>4 game modes (Easy Normal Extreme Endless) for all types of players (beginner to expert).<br>In-game screen capture function to record your victories!<p>We also provide a levels downloading service (Generally 2-3 new levels per week).<p>Let me know of issues by mail, so I can let you know when I fixed them :-) <p>Note: <br>We auto turn off sound effects on Samsung Galaxy S2 phone to avoid freezing problem caused by a firmware bug.<br>On some low-end phones, the game might run a bit laggy. Please turn off Intense Graphics on Options Screen.<p>Discover known accounts permission is used by OpenFeint to let users not have to type the email address in when creating an account.4.6562.99{com.entwicklerx.swampdefense, com.digimentgames.android.boxit2, com.polartouch.eskimo.full, com.gracesoft.starrebellion}3.03000000000000000000000000000000000000000000000000000000000000000000000000000010101000001000000000000000000010000000000000000000000000000000100000000000000000000000000000000001
29996Super Task Killer FREEcom.netqin.aotkillerToolsGet it for FREE. Quickly Kill running apps. Free memory up. Save battery power<p>This is the fastest & simplest task killer on Android Market. Super Task Killer FREE takes less than 0.1% of your memory!<br>====================================<p>??? BEST ALTERNATIVE ???<br>4 reasons to ???Kill??? other Task Killer/Task Manager:<br>+ Not only saves your battery & memory by killing apps but itself uses much less battery than others. This kind of app should be the smallest one on your Android device;<br>+ Tells you clearly which apps have been killed and how much memory has been recovered;<br>+ Multiple languages supported such as: English, Chinese, Japanese, Korean, Russian and so on;<br>+ Supports android phones with Android 2.0/2.1 (Eclair), Android 2.2 (Froyo), Android 2.3+ (Ginger Bread) and Android 3.0 (Honeycomb) <p>??? WHY KILL TASKS ???<br>+ Save battery: <br>- Some cool games and apps really use up your battery fast, STK kills them with just one click;<br>- Keep Facebook and Twitter details safe after logging in through a browser. STK will close the browsers completely to protect your account and privacy safe.<br>+ Speed up phone???s performance:<br>- It is easy to fill your Android with apps once you first get it, but the more apps you have, the slower your Android will become. STK kills the apps that you aren???t using, thereby freeing up memory to be used by more important apps.<br>- As some apps always auto start, you can set an auto kill in your STK to regularly kill them!<p>??? Features ???<br>Download the free Super Task Killer from NetQin to get the following:<br>+ Task killer, kill running tasks and apps;<br>+ Auto-kill tasks at set times;<br>+ One click kill-task widget;<br>+ Set a different security level of apps or programs running in the background;<br> <br>**Please note that installing the following apps such as: Advanced Task Killer, ES Task Manager, Automatic Task Killer, Task Manager, Mobo Task Killer, Juice Defender, Battery Booster, RAM Booster & Battery Power Booster together with Android Booster may make your phone unstable or cause potential conflict.**<p>To search Android Booster FREE, you may try with Key Words: STK, Super Task Killer, Task Killer, Task Manager, Memory, Free Memory, Free Memory Up, Optimizer, Mobile Phone Booster, Battery life, Android Speed, Memory Android, Boost Android, Boost Battery, Kill Apps, Battery Saver, Save Power.4.261010.00{com.guardam.TaskKiller, com.netqin.authtoken_fix, cn.com.android.opda.taskman, com.gclue.blocco.plugin.SmartTaskKiller}4.03000000000000000000000000000000000000000000000000000000000000000000000000000010001001001010000000000010000000000010000000000000000000000000000000000000000000000000000000000001
29997Ambassador Hotel TaipeiVMC.AmbassadorhotelTravel & LocalKey features of this App: <br>1. View photos of the hotel rooms and restaurants.<br>2. Help guest find the nearest cultural venues and must-see attractions. <br>3. Interactive map allows users to find the hotel near their currant location.<br>4. Keep up to date with the latest news and events. <br>5. Contact The Ambassador Hotel3.450.00{com.hyxen.app.NewTaipeiTravel, j2ab.android.tpcity, tw.com.sundance.m4f, com.sti.mobile.travel_helper}3.00000000000000000000000000000000000000000000000000000000000000000000000000000010000000000000000000000000000000000000000000000000000000000000000000110000000000000000000000000001
29998Brain Ball Gamemyapp.lecz.android.tiltmazesBrain & PuzzleA ball sits in a flat tray containing one or more squares (goals). The challenge is to guide the ball around the tray and collect all the squares. Tilt the phone to start the ball rolling.<p>The ball rolls in a straight line until it hits a wall, you can then tilt again.3.020.00{com.twistedmirror.alberiplus, com.freesoul.MovieGuess, com.blogspot.androidresearch.miq, com.neiru.divider}3.02000000000000000000000000000000000000000000000000000000000000000000001000000010001001000000000000000000000010000000000000000000000000000000000000000000000000000000000000000001

Duplicate rows

Most frequently occurring

AppPackageCategoryDescriptionRatingNumber of ratingsPriceRelated appsDangerous permissions countSafe permissions countDefault : Access DRM content. (S)Default : Access Email provider data (S)Default : Access all system downloads (S)Default : Access download manager. (S)Default : Advanced download manager functions. (S)Default : Audio File Access (S)Default : Install DRM content. (S)Default : Modify Google service configuration (S)Default : Modify Google settings (S)Default : Move application resources (S)Default : Read Google settings (S)Default : Send download notifications. (S)Default : Voice Search Shortcuts (S)Default : access SurfaceFlinger (S)Default : access checkin properties (S)Default : access the cache filesystem (S)Default : access to passwords for Google accounts (S)Default : act as an account authenticator (S)Default : bind to a wallpaper (S)Default : bind to an input method (S)Default : change screen orientation (S)Default : coarse (network-based) location (S)Default : control location update notifications (S)Default : control system backup and restore (S)Default : delete applications (S)Default : delete other applications' caches (S)Default : delete other applications' data (S)Default : directly call any phone numbers (S)Default : directly install applications (S)Default : disable or modify status bar (S)Default : discover known accounts (S)Default : display unauthorized windows (S)Default : enable or disable application components (S)Default : force application to close (S)Default : force device reboot (S)Default : full Internet access (S)Default : interact with a device admin (S)Default : manage application tokens (S)Default : mock location sources for testing (S)Default : modify battery statistics (S)Default : modify secure system settings (S)Default : modify the Google services map (S)Default : modify/delete USB storage contents modify/delete SD card contents (S)Default : monitor and control all application launching (S)Default : partial shutdown (S)Default : permanently disable device (S)Default : permission to install a location provider (S)Default : power device on or off (S)Default : press keys and control buttons (S)Default : prevent app switches (S)Default : read frame buffer (S)Default : read instant messages (S)Default : read phone state and identity (S)Default : record what you type and actions you take (S)Default : reset system to factory defaults (S)Default : run in factory test mode (S)Default : set time (S)Default : set wallpaper size hints (S)Default : start IM service (S)Default : update component usage statistics (S)Default : write contact data (S)Default : write instant messages (S)Development tools : enable application debugging (D)Development tools : limit number of running processes (D)Development tools : make all background applications close (D)Development tools : send Linux signals to applications (D)Hardware controls : change your audio settings (D)Hardware controls : control flashlight (S)Hardware controls : control vibrator (S)Hardware controls : record audio (D)Hardware controls : take pictures and videos (D)Hardware controls : test hardware (S)Network communication : Broadcast data messages to applications. (S)Network communication : control Near Field Communication (D)Network communication : create Bluetooth connections (D)Network communication : download files without notification (S)Network communication : full Internet access (D)Network communication : make/receive Internet calls (D)Network communication : receive data from Internet (S)Network communication : view Wi-Fi state (S)Network communication : view network state (S)Phone calls : intercept outgoing calls (D)Phone calls : modify phone state (S)Phone calls : read phone state and identity (D)Services that cost you money : directly call phone numbers (D)Services that cost you money : send SMS messages (D)Storage : modify/delete USB storage contents modify/delete SD card contents (D)System tools : allow Wi-Fi Multicast reception (D)System tools : automatically start at boot (S)System tools : bluetooth administration (D)System tools : change Wi-Fi state (D)System tools : change background data usage setting (S)System tools : change network connectivity (D)System tools : change your UI settings (D)System tools : delete all application cache data (D)System tools : disable keylock (D)System tools : display system-level alerts (D)System tools : expand/collapse status bar (S)System tools : force stop other applications (S)System tools : format external storage (D)System tools : kill background processes (S)System tools : make application always run (D)System tools : measure application storage space (S)System tools : modify global animation speed (D)System tools : modify global system settings (D)System tools : mount and unmount filesystems (D)System tools : prevent device from sleeping (D)System tools : read subscribed feeds (S)System tools : read sync settings (S)System tools : read sync statistics (S)System tools : read/write to resources owned by diag (S)System tools : reorder running applications (D)System tools : retrieve running applications (D)System tools : send package removed broadcast (S)System tools : send sticky broadcast (S)System tools : set preferred applications (S)System tools : set time zone (D)System tools : set wallpaper (S)System tools : set wallpaper size hints (S)System tools : write Access Point Name settings (D)System tools : write subscribed feeds (D)System tools : write sync settings (D)Your accounts : Blogger (D)Your accounts : Google App Engine (D)Your accounts : Google Docs (D)Your accounts : Google Finance (D)Your accounts : Google Maps (D)Your accounts : Google Spreadsheets (D)Your accounts : Google Voice (D)Your accounts : Google mail (D)Your accounts : Picasa Web Albums (D)Your accounts : YouTube (D)Your accounts : YouTube usernames (D)Your accounts : access all Google services (S)Your accounts : access other Google services (D)Your accounts : act as an account authenticator (D)Your accounts : act as the AccountManagerService (S)Your accounts : contacts data in Google accounts (D)Your accounts : discover known accounts (S)Your accounts : manage the accounts list (D)Your accounts : read Google service configuration (S)Your accounts : use the authentication credentials of an account (D)Your accounts : view configured accounts (S)Your location : access extra location provider commands (S)Your location : coarse (network-based) location (D)Your location : fine (GPS) location (D)Your location : mock location sources for testing (D)Your messages : Read Email attachments (D)Your messages : Send Gmail (S)Your messages : edit SMS or MMS (D)Your messages : modify Gmail (D)Your messages : read Gmail (D)Your messages : read Gmail attachment previews (D)Your messages : read SMS or MMS (D)Your messages : read instant messages (D)Your messages : receive MMS (D)Your messages : receive SMS (D)Your messages : receive WAP (D)Your messages : send SMS-received broadcast (S)Your messages : send WAP-PUSH-received broadcast (S)Your messages : write instant messages (D)Your personal information : add or modify calendar events and send email to guests (D)Your personal information : choose widgets (S)Your personal information : read Browser's history and bookmarks (D)Your personal information : read calendar events (D)Your personal information : read contact data (D)Your personal information : read sensitive log data (D)Your personal information : read user defined dictionary (D)Your personal information : retrieve system internal state (S)Your personal information : set alarm in alarm clock (S)Your personal information : write Browser's history and bookmarks (D)Your personal information : write contact data (D)Your personal information : write to user defined dictionary (S)Class# duplicates
211Bank of Americacom.infonow.bofaFinanceThe Bank of America app lets you easily view balances, make transfers, and more.<p>With Bank of America Mobile Banking, easily take your banking with you.* Enjoy our native app for Android(TM), with enhanced user interface and improved performance. Transfer money, see balances and pay bills (through optional Bill Pay), or find the closest ATM/banking center with a simple touch of a button (no address input required). You can feel secure with a leader in mobile security and our Online Banking Security Guarantee.<p>In response to our users??? feedback, we???ve removed a feature of our app that was designed to work more seamlessly with Android devices??? contacts list (allowing users to go directly to their contacts to select their transfer recipients).?? This feature was included as a convenience for our users, and contacts weren???t stored in our app or accessed or used for any other purpose.<p>Features<br>??? Pay bills and transfer funds**<br>??? Review account balances<br>??? Find ATM and banking center locations using GPS, with no address input required*** <p>Mobile Banking Security <br>??? You???ll enjoy peace of mind, knowing you have the same level of security as Online Banking, including our Online Banking Security Guarantee.****<br>??? Your personal information is protected by advanced encryption technology to help prevent unauthorized access. <br>??? We are committed to protecting the privacy of your financial information. See the Privacy Policy for Consumers at <a href="http://www.google.com/url?q=http://www.bankofamerica.com&usg=AFQjCNFW4N1W0ZAGivMTYyECA6gp3YG41g" target="_blank">www.bankofamerica.com</a>. <br>??? We use the same SiteKey?? technology to verify your identity as we do for Online Banking, providing an extra layer of security for your peace of mind.<br>??? SafePass?? security is now available in the Mobile Banking App, just like in Online Banking.<p>*Must be enrolled in Online Banking. <br>**Must have transfers and Bill Pay set up previously in Online Banking. <br>***Technology limited to locating ATMs and banking centers only. <br>****Please read ???Your Responsibilities??? in our Online Banking Security Guarantee to learn about important actions required to preserve your rights under the guarantee.<br>?? Currently, this capability is only available to customers in a few U.S. states. We???re in the process of rolling out this feature nationwide soon.<p>Bank of America N.A. Member FDIC.<br>?? 2011 Bank of America Corporation4.3648390.00{com.discoverfinancial.mobile, INGDIRECT.android, com.paccitybank, com.google.android.bistromath}2.010000000000000000000000000000000000000000000000000000000000000000000000000000100010000000000000000000000000000000000000000000000000000000000000001000000000000000000000000000016
615File Expertxcxin.filexpertToolsPowerful File Manager/WIFI File Transfer Web & FTP/App Manager - ALL in ONE<p>Best & Leading Android file manager of all time with enhanced WIFI sharing and management, root explorer and Bluetooth support! More than 6 millions of users worldwide and still fast growing! Join us today! <p>* All basic file operations - Copy, Paste, Move, Create and Rename your files and folders<p>* FTP/HTTP Server - Share & Manage your files without a USB cable, just like with Web Sharing or WIFI File Explorer, but we do even more because we can provide both Web & FTP transferring support. Web management featuring a Windows style interface!<p>* Root access to system folders and files like Root Explorer. Remount those locations to read write. Requires rooted phone to function. This feature is in BETA testing. Use it on your own risk.<p>* SMB, FTP, SFTP and FTPS Client - Access your host computer from your phone, using your phone to manage your PC via WIFI with SMB, FTP, SFTP or FTPS<p>* Bluetooth - Sharing your files over Bluetooth OBEX FTP. Send any files via Bluetooth OPP<p>* NFC Support. You can use NFC-enabled phone to transfer files and apps.<p>* WiFi Send. Directly send files via WiFi between File Expert powered phones<p>* App Manager - Uninstall/Backup apps. We know that many apps on the market can do this, but none can do this work silently. We're the ONLY app that can install and uninstall apps silently, which makes your batch process faster and cooler. Silent capabilities require a rooted phone to function.<p>* Archive manager - Create and decompress ZIP archive, Decompress RAR. You can view your ZIP/RAR/GZIP/TAR/TGZ/BZ file just like accessing a folder and directly decompress unique files and folders<p>* Thumbnails - supports jpg/png/mp3/mp4/3gp thumbnails<p>* Text Viewer<p>* Image Viewer - supports both local and remote folder<p>* Search SD card, perform operations on search results<p>* Help your player to play media that stores on SMB share (your player needs to support HTTP streaming). WE are the ONLY file manager that can directly open some types of videos over SMB network <p>* File Picker - Let FE to help you anywhere you want :)<p>* Theme support - Choose themes that you love for FREE!<p>~~~~~~~~~~~~~~~~~~~~~~~~~~~~<p>Why choose FE? Here are the reasons:<br>1. No ADs and it's FREE<br>2. Gives you almost everything you need to manage your phone's resources<br>3. Smaller size than competitors like ES and Astro<br>4. Acceptable performance<br>5. Free technical support via email<br>6. Clear User Interface, and most operations can be done only in touch<br>7. The ONLY file manager that supports both PC 2 phone & phone 2 PC wifi file transfer and can directly play some videos and music via SMB<br>8. Root access support<br>9. Themes<p>We know that Astro is great but you have to buy Pro version in order to remove annoying ADs. We can provide all functions that Astro does and offer you even more useful features like Web sharing support. Why not give us a try?<p>Keywords and tags:<br>File Explorer File Manager HTTP FTP FTP Server File sharing APK App Manager File Expert SMB TXT reader file WIFI wifi sharing ES ES File Explorer Astro Astro File Manager File Picker Web Sharing WIFI File Explorer SwiFTP SD SD Card Files Copy Move Cut Paste Create Rename folders sharing files managing files file manager file operator top file manager best file manager File Manager Pro File Manager Advanced Free Root Explorer<p>Relevant Applications or competitors:<br>Astro File Manager; ES File Explorer; OI File Manager; File Manager; WIFI File Explorer<p>Our Goal:<br>We want to make File Expert the best file manager/wireless file sharing app on the Android platform<p>Any feature requests or bug reports, please send directly to my email. You can see my email address below. I will try my best to reply to every email I receive. <p>If you like FE, please rate it on the market to help more users find us.<p>Okay, that's all. Thank you for reading this very long description. FE has many features, so I have to write a long description for details. <p>IT'S TIME TO CHANGE! Enjoy!4.6195600.00{com.geek.filexpert.theme5, net.windpath.android.androfd.smb, com.scan.places, com.geeksoft}12.040000000000000000000000000000000000000000000000000000000000000000000000000110100110010010011010000010100001100000100000000000000000000000000000000000000000000000000000100000016
1873US Traffic Jam & Speed Trapscom.appspot.yongDriver_USTravel & LocalLocation: Major cities in USA<p>As a driver myself, i created yongDriver for my daily use. I am releasing it free for all drivers. It is frustrating to drive with daily morning and evening traffic jam caused by accident, tree trimming, road work or even bad weather. <p>yongDriver serves its purpose if it can help you detour and avoid drudgery jam, unexpected roadblock and when it delivers a smooth and enjoyable drive home.<p>Benefits:<br>1. Help you avoid traffic jam with real-time traffic map. <br>2. Alert you of roadblock, police etc.<br>3. 1 button to report road incidents on the move.<p>It is a 100% free service that provides useful traffic information combined from on authoritative data source and help from your local driver community. <br>1. live traffic flow<br>2. Hidden police<br>3. police check point<p>How it work?<br>1. It displays real-time traffic flow near your location.<br>2. You get your friends and neighbours to collaborate. <br>3. You get notified of possible jam and &quot;danger&quot;.<br>4. Every verified event will last for another 30 minutes. <p>Traffic Color Code:<br>Black - jam<br>Red - heavy traffic<br>Yellow - slow traffic<br>Green - smooth traffic<p>Mobile Device:<br>iPhone<br>iPad<br>Android<p>With live traffic information, you may be able to deduce a police roadblock if the map shows traffic comes to a halt in early hour of the night. Download now to begin a relax journey...<p>Note: As yongDriver is customizable, you can create your own reporting items specific for taxi drivers. For example, many customers are waiting for taxi at a unexpected location after a wedding dinner.<p>Direction: For safety reason, please use holder/stand for your iphone, ipad or Android phones.<p>Example: Recently, as I am driving along the highway. I notice cars starting to jam up not far ahead. I quickly glance at my yongDriver and access the current traffic situation. I can see where the heavy traffic start and end. In split seconds, I quickly detour at the nearest exist. Drive a few hundred meters more and return back to the highway right after the jam. It saves my day. :)<p>Cities:<br>Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming<p><br>AL AK AZ AR CA CO CT DE FL GA HI ID IL IN IA KS KY LA ME MD MA MI MN MS MO MT NE NV NH NJ NM NY NC ND OH OK OR PA RI SC SD TN TX UT VT VA WA WV WI WY NYC3.1260.00{com.appspot.yonglocate, com.pollotech.nyctrafficfree, com.gramercyconsultants.ti, appinventor.ai_batdive.AZTrafficReport}3.000000000000000000000000000000000000000000000000000000000000000000000000000000100000000000000000000000000000000000000000000000000000000000000000001100000000000000000000000000016
262Bluetooth File Transferit.medieval.blueftpCommunicationBluetooth File Transfer (OBEX FTP and OPP) for Android<p>Use your smartphone to browse, explore and manage files of any Bluetooth ready device, using File Transfer Profile (FTP) and Object Push Profile (OPP): you can also receive files and send contacts!<p>GUIDE&gt; <a href="http://www.google.com/url?q=http://help.medieval.it&usg=AFQjCNFJ2AVAoQ3MbzfSToIDAACjN0lqYw" target="_blank">http://help.medieval.it</a> (by Absolutely Android)<p>FEATURES&gt;<br>* Custom security manager for incoming BT connections: only authorized devices can connect, if you accept. If you refuse, no access is granted on your servers: personal data files and privacy are safe against hacker, nerd, geek and guru (enanched Bluetooth server security is disabled by default)<p>* 3rd party applications can open (or pick) files from sdcard using this package like attachment, music, pictures or any multimedia file (no external intents are supported for performance purpose)<p>* Support for legacy 2.0 and AES (128, 192 and 256 bit) encryption (both pack and unpack) of Zip files (like WinZIP or WinRAR) - keep private document secure using a long pass to protect it<p>* Enhanced all-in-one app with the fastest file browser ever seen (you can verify by yourself, test it now)<p>* Professional, clean and fast UI where you can customize any aspect of the file viewer. Customizable user interface in order to best fit your needs (expert only)<p>* Thumbnails for APK, audio, video, image (also inside archive files: Zip, GZip, TAR) - thumb picture (miniature) not stored on cell phone memory<p>* It can connect to new and old cellphone: nokia, samsung, lg, sony (Android does not support infrared IR pan)<p>* Search files also inside Zip, GZ, Tar (advanced searching inside archive can take double time to complete)<p>* Improved contact send function in order to manipulate telephone numbers on generated VCARD (vcf) files<p>* Cut, copy, move, paste, delete multiple items using the integrated explorer of this application<p>* You can full unhide (or hide) hidden media (both smartphone and sd memory)<p>* OBEX layer (obexftp and obexopp) entirely developed by Medieval Software<p>* Compress, uncompress and extract Zip (encrypt with password), GZip, Tar<p>* Cleaner program settings view using shortcut icons pane<p>* Sharing: you can share a single file or an entire path<p>* Powerful bookmark feature with precise sorting<p>* Contact send screen supports contacts groups<br>* Test and check archive integrity (deflate)<br>* Desktop folders shortcuts<br>* Calculate MD5 and CRC32<br>* Power saving management<br>* Streaming service<br>* No root required<br>* Multi language<br>* Multiselect<br>* Home folder<br>* File sort<br>* Open as<p>Freeware with AD (free software) - You can now remove advertising from this application by purchasing &quot;Medieval Licensing System&quot; on the Android Market!<p>NOTE - SDPD (uuid port route) may not work on Android 1.5 and 1.6 so friend services could not reach you!<p>---<p>FAQ&gt; Why &quot;Bluetooth File Transfer&quot; requires the contact read permissions?<p>A. In order to send your contacts over Bluetooth, if you wish, for example to your car-kit or to another smartphone. Open main menu, select Send contacts item, put a check beside the contacts you would like to send and finally press Send button.4.3837100.00{com.androbex.activity, com.androidsx.musictransfer, backport.android.bluetooth, src.matd.Bterminal}6.020000000000000000000000000000000000000000000000000000000000000000000000000010100010000010010000000000100000100000000000000000000000000000000000000000000000000000000001000000015
369Chase Mobilecom.chase.sig.androidFinanceOur Chase Mobile App makes it easy for you to bank on the go 24/7.<p>Free* Chase Mobile(R) App ??? Customized for Android(TM) users.<p>If you own an Android device, try banking on the go! Our exclusive Android application makes it easy for you to:<p>BANK WITH CONFIDENCE 24/7 ??? If you???re enrolled in Chase Online(SM), you can pay bills and credit cards; see account balances and transaction history; transfer money between your accounts; and even send wire transfers. We also use multiple safeguard technologies to help protect your information.<p>FIND US ??? Locate your nearest Chase branch or ATM quickly and easily.<p>CONTACT US ??? Talk to our service representatives; they???re just a touch away.<p>MAKE A DEPOSIT ??? With Chase QuickDeposit(SM), you can save a trip to the bank by using your Android device to make a deposit.<p>CHASE PERSON-TO-PERSON QUICKPAY - Send money to nearly anyone with a U.S. bank account just by using an email address or mobile phone number. The App uses your contact data so you can easily add people to your Chase QuickPay(SM) contact list.<p>EDIT AND CANCEL PAYMENTS - You can now make changes to pending credit card payments, transfers, wires or bill payments.<p>SEE REWARDS ??? See your credit card and debit card rewards information.<p>BLUEPRINT(SM) ??? We???ve made it even easier to stick to your plan. Now you can view and make your BLUEPRINT credit card payment from your Android device.<p>Some features are available for eligible customers and accounts only.<p>*There is no charge from Chase, but data rates may apply.<br>Android is a trademark of Google Inc.<p>htc EVO(TM) is a trademark of HTC Corporation.4.4375980.00{com.americanexpress.android.acctsvcs.us, com.Vertifi.DeposZip, com.discoverfinancial.mobile, INGDIRECT.android}5.000000000000000000000000000000000000000000000000000000000000000000000000100000100000000000000000000000000000000000000000000000000000000000000000001100000000000000000001000000015
784Guns'n'Glory WW2com.hg.gunsandglory2freeArcade & ActionEnter the battle and lead your troops to glory!<p>Explosive defense action in World War II!<p>Grab your bazookas and ready your grenades in the thrilling successor to the award-winning action-strategy game Guns???n???Glory! Order your tanks into combat and march your troops to the frontlines of World War II. Axis or Allies - the battle will be decided by YOU!<p>Features:<br>- Thrilling defense-action strategy during WW2<br>- Successor to the popular Guns???n???Glory Wild West game<br>- 2 factions to choose from: US Forces, Axis Germany<br>- 4 different units to recruit on each side<br>- 12 challenging maps with 3 different difficulty modes<br>- RPG-like skill system to upgrade your units<br>- Powerful items to use for tactical advantages<br>- Earn Glory Coins and spend them on troop and battlefield improvements<br>- Earth-shattering explosions and awesome effects<br>- Pounding battle tunes<p>* Xperia PLAY optimized *<p>It???s the winter of 1944, Western Front. You and your boys are on guard duty when the enemy decides to throw wave after wave of troops at your position. Time to man the defenses! Recruit and upgrade troops, order tanks into battle and beat the enemy with superior tactics and firepower! Call in air strikes to gain the upper hand and collect supply crates to boost troop morale! Put the heat on the enemy with your flamethrowers and have your medics tend to your soldiers! Take up the guns and earn your glory!4.6399840.00{com.catstudio.starwarsfree_v1, com.warMARKET, com.protectionforcedemo, net.codepoke.games.tda}1.020000000000000000000000000000000000000000000000000000000000000000000010000000100010000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000015
864IP Cam Viewer Procom.rcreations.WebCamViewerPaidProductivityView and Control IP camera, DVR, NVR, webcam. SSL, H.264, Audio, Widget, cctv.<p>Awarded Best Software Award 2011 in Utilities category.<p>Remotely view and control your IP Camera, DVR, Network Video Recorder, CCTV or WebCam using this Android mobile app.<p>2-way audio support on some cameras for use as baby monitor (axis, panasonic, foscam, more) and honeycomb tablet support.<p>Includes Record Mode which turns any spare Android device into a solid state, battery backed network recorder for your standalone IP cameras. Allows playback, search, and export to video clip.<p>- SSL encryption for privacy<br>- H.264 and two way audio<br>- pan tilt and zoom (PTZ)<br>- preset recall<br>- relay to control things like lights and garage doors<br>- custom controls like patrol (varies with various models)<br>- home screen widgets<br>- matrix view, gallery view, and auto sequence mode<br>- double tap for digital zoom using pinch to zoom<br>- grouping of cameras to organize and for quick recall.<br>- Export / Import and sharing of cameras<br>- built-in traffic camera database<br>- browser integration<br>- app password to protect access from others<br>- 24/7 recording of cameras<br>- scan camera capability<br>- auto sequencing of cameras and groups<p>Over 700+ different makes/models supported (more than any other app).<p>Major brands include Axis, Airlink, Apexis, Aviosys, Brickcom, Cisco, EasySE, EasyN, Edimax, Canon, Dlink, Flexwatch, Hunt, Instar, Linksys, Foscam, Goscam, Heden, Panasonic, Toshiba, Trendnet, Hootoo, Geovision, JVC, Cisco, Milestone, Marmitek, Mobotix, Pelco, PROCCTV, Rimax, Q-See, Zmodo, Sony, Sparklan, TP-Link, LevelOne, Night Owl, Samsung, Sanyo, Shixin, Security Spy, SVAT, Tenvis, Wansview, Zavio, ABUS, Alinking, Blue Iris, CCTVHotDeals, Vivotek, Zoneminder.<p>Please visit my website for complete a list of devices supported along with capabilities for each model.4.537403.99{com.rcreations.dscalarmmonitorpaid, UBNTEK.uCamPro, com.eyespyfx, com.lowcost4dslr.android.remote4cam}4.020000000000000000000000000000000000000000000000000000000000000000000001000000100010000010100000000000000000100000000000000000000000000000000000000000000000000000000000000000015
1158NVIDIA Tegra Zonecom.nvidia.tegrazoneEntertainmentFinding the best Android games just got easier.<p>NVIDIA Tegra Zone: The Destination for Mobile Games<p>Finding the best Android games just got easier. With the Tegra Zone app for your NVIDIA?? Tegra???-powered mobile device, you can easily find games that are optimized to exploit the full potential of the Tegra mobile processor. Discover unique, premium games for Android that deliver more visually-stunning graphics and smoother gameplay, so you can get the most out of your Tegra-powered mobile device.<p>Discover: Get all of the top games for Android at your fingertips. Find Android games to download quickly and easily.<p>Learn: Access professional game reviews, high-res screenshots, HD videos, and behind-the-scenes footage for the top Android games. <p>Share: Connect Tegra Zone to your social networks and let your friends know about your favorite new apps. <p>The Tegra Zone app is a curated, editorial-driven merchandizing front-end designed to enhance the shopping and discovery experience of differentiated games sold in Android Market. When a user decides on a game to purchase within the app, he/she clicks ???Get It Now.??? This action links the user to the Android product page for that game where he/she finalizes the purchase and downloads the game. The complete sales transaction, game download, and game support happen within the Android Market through Google and the game developer.<p>Tegra Zone is not intended to replace the purchase, download, or functionality of the Android Market, but rather to compliment it by providing a selection of premium games that developers believe will offer an exceptional experience for users of Tegra-powered phones and tablets.<p>If you are looking for the best games for your Tegra-powered device, then Tegra Zone is a must-have Android app for you. <p>NVIDIA's Tegra Zone app is only supported on Android mobile devices with Tegra mobile processors.<p>INSTALL<br>By installing the Tegra Zone application, you are confirming that you have read and agree to be bound by the License For Customer Use of NVIDIA Software (<a href="http://www.google.com/url?q=http://www.nvidia.com/content/DriverDownload-March2009/licence.php?lang%3Dus&usg=AFQjCNGNVzocWTLFVo8B3mD5fBFmBF9olQ" target="_blank">http://www.nvidia.com/content/DriverDownload-March2009/licence.php?lang=us</a> ).<p>Permissions: Posting game comments within Tegra Zone requires storage of email address.<p>FAQ:<br><a href="http://www.google.com/url?q=http://nvidia.custhelp.com/cgi-bin/nvidia.cfg/php/enduser/std_alp.php?p_pv%3D1.136&usg=AFQjCNGFACGjuysJ26Vx3hy2e1nSJrF_ng" target="_blank">http://nvidia.custhelp.com/cgi-bin/nvidia.cfg/php/enduser/std_alp.php?p_pv=1.136</a>3.923120.00{com.inisoft.mediaplayer.tegra2, com.komik.free, com.justinholmgren.sketchpad, com.miz.mizuu}1.020000000000000000000000000000000000000000000000000000000000000000000000000000100010000000000000000000000000000000000000000000000000000000001000000000000000000000000000000000015
1228Out of Milk Shopping Listcom.capigami.outofmilkShoppingShopping list, pantry list and to-do list in an intuitive and easy-to-use app<p>Shopping List, Pantry List & To-Do List in a small, intuitive and easy-to-use app. With Out of Milk, your Shopping List stays with you everywhere you go and you'll have it on-hand once you're ready to go grocery shopping. The Pantry List allows you keep track of your pantry items (spices, essentials, etc...) so that you always know what you have at home. The To-Do list helps you keep track of any other items on your daily list.<p>### Out of Milk Features ###<p>-- Standard Features --<br>* Multiple shopping & to-do lists<br>* Scan or manually enter items in your shopping lists<br>* Plan grocery list<br>* Shopping list history remembers items<br>* Pantry lists let you inventory anything so you always know what's in your pantry<br>* Share lists by text or email<br>* Move or copy items between shopping list and pantry lists<br>* Displays grand total and running total on your shopping list<br>* View price history while editing a shopping list item<br>* Mark items in your shopping list as tax-free. Out of Milk will also remember your choice for future reference<p>On top of all of our standard/free features (that stay free forever), we are also offering a Pro version for only $4.99! Just search for &quot;out of milk unlocker&quot; to purchase/install the key that will enable all Pro features. You need both this app and the &quot;Out of Milk Pro Unlocker&quot; installed for it to work.<p>-- Pro Features --<br>* FULL FEATURED WEBSITE! - Manage all of your lists and data on our amazing website: <a href="http://www.google.com/url?q=http://www.outofmilkapp.com&usg=AFQjCNFmGVFCPldcSMOA039cAQMNO1i7ow" target="_blank">http://www.outofmilkapp.com</a> and sync them with your device<br>* Backup - All of your data gets stored on our servers. Never worry about losing your data again.<br>* List Sharing - Share your lists with any other Out of Milk Pro users. Changes made on your device will show up on their device!<br>* Real-Time Syncing - As you edit items in your lists, they will appear on your partners phone within seconds!<br>* Pick from different themes<br>* Pick from different fonts<br>* Customize tap and long-press actions<br>* Generate a sheet of QR codes based off your shopping list<br>* Widgets - Add list widgets to your homescreens<br>* Coupons - Keep track of coupons in your shopping lists<p>As an Out Of Milk user, you will also get incredible support from our team which you won't get from other apps. So if you have a problem, just email us at <a href="mailto:support@capigami.com" target="_blank">support@capigami.com</a><p>### Permission Information ###<br>* Camera permission is needed for Barcode Scanner. - We only use this permission for the ability to use our barcode scanning feature. We do not record or store any photos or images. This is a basic, required permission.<br>* Internet access permission is needed to lookup barcodes/product names. Internet access is also needed to sync with cloud if you are a Pro user.<br>* Vibrate permission is needed for To-Do reminder vibrate option.4.4105230.00{org.developerservices.android.shoppinglist, com.ifd.ad.sgl, com.twistlist, com.ramps.shop}2.010000000000000000000000000000000000000000000000000000000000000000000010100000100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000015
1329PowerAMP Music Player (Trial)com.maxmpz.audioplayerMusic & AudioPowerful Music Player for Android<p>PowerAMP is a powerful music player for Android.<p>2.0 is the next major release and a free update for everyone, who purchased PowerAMP Full Version Unlocker. <p>IMPORTANT: Please ensure you have all your folders with music checked in PowerAMP Settings =&gt; Music Folders to have all your songs in the Library. If not sure, check all 1st level folders and/or use Auto-Find option.<p>Please also check for downloadable PowerAMP Classic Skin, which adds &quot;old&quot; Matte Metal theme.<p>You can downgrade back to 1.4 by downloading it from official PowerAMP site.<p>Key Features:<br>- plays mp3, mp4/m4a (including alac), ogg, wma*, flac, wav, ape, wv, tta, mpc, aiff (* some wma pro files may require NEON support)<br>- 10 band optimized graphical equalizer for all supported formats, presets, custom presets<br>- separate Bass and Treble adjustment<br>- stereo eXpansion, mono mixing, balance<br>- crossfade<br>- gapless <br>- replay gain<br>- plays songs from folders and from own library<br>- dynamic queue<br>- lyrics support, including lyrics search via musiXmatch plugin<br>- embed and standalone .cue files support<br>- support for m3u, m3u8, pls, wpl playlists<br>- OpenGL based cover art animation<br>- downloads missing album art<br>- 4 configurable widget types<br>- configurable lock screen with optional Direct Unlock<br>- headset support, automatic Resume on headset and/or BT connection (can be disabled in settings)<br>- scrobbling<br>- tag editor<br>- visual themes, including support for external/3rd party skins<br>- fast library scan<br>- high level of customization via settings<p>This version is 15 days full featured Trial. See Related Apps for PowerAMP Full Version Unlocker or use Buy option in PowerAMP settings to buy Full Version. <p>Changelog (v1.4 =&gt; v2.0):<br>Audio Engine:<br>- Direct Volume Control for new Android 2.3+ sound system where available. Direct Volume Control results in volume level equal (or higher with positive preamp) to stock player, but with the Equalizer/Tone enabled<br>- re-tuned equalizer/tone controls for Direct Volume Control (gives a larger range of distortion-free sound, deeper basses)<br>- output limiter. Ensures distortion-free sound even on extreme equalizer/tone amplification levels<br>- .mpc, .aiff<br>- replay gain support for all supported formats which support Replay Gain (mp3, mp4/m4a, flac, ape, wv, tta, ogg, mpc) <br>- Stereo X expansion effect<br>- mix-to-mono, balance<br>Library/Folders:<br>- custom complete Library/Media Scanner implementation, 10x-100x scan speed comparing to system library tag scanner<br>- Music Folder hierarchical selection<br>- permanent shuffle. Shuffle session is stored in database and survives PowerAMP restart, phone reboots etc.<br>- Menu =&gt; List Opts for almost each Folder/Library list with the sorting, view mode, and other per-list options<br>- playlist unification, no more Folders vs Library playlists<br>- m3u/m3u8, pls, wpl playlist file formats support<br>- playlist export from system Library<br>- embed cue support (flac, wv, ape)<br>- full-library and folders search<br>- history of songs played and other smart playlists (Most Played, Top Rated, Recently Played, Recently Added. Each list can be set to be sorted in Reverse. Enable these lists via Menu =&gt; Lists Opts in Library)<br>- rating system. PowerAMP 2.0 stores ratings in own database only<br>- auto-advance options moved from Settings to Advance List repeat mode<br>- new Shuffle modes: shuffle songs then lists; shuffle lists, songs in order<br>- home screen playlist shortcut support<br>- voice search support (&quot;Listen to&quot;)<br>UI:<br>- restyled skins (larger controls, less controls initially visible, expandable menus, bigger album art, etc.)<br>- ability to load skins from Market/apk/jar files<br>- OpenGL cover animation<br>- grid view for folders/albums lists<br>- new Equalizer/Tone and Library layouts<br>- new configurable Lock Screen<br>- new configurable 4x4, 4x2, 4x1, and 2x2 widgets<br>- improved Settings layout and reorganized options<br>Other:<br>- lyrics download (via separate musiXmatch plugin)<br>- more than 100 changes in total and more are coming in the next PowerAMP 2.x releases!4.61220750.00{kr.saberre.twiccaplugins.nowplaying, net.homeip.intellego.liveview.poweramp, com.htw.shakerFull, com.htw.shaker}7.020000000000000000000000000000000000000000000000000000000000000000001000000000100010010010000000010000000010100000001000000000000000000000000000000000000000000000000000000000015